1.Analysis of dietary patterns associated with type 2 diabetes risk in older prediabetic populations
Kang CHEN ; Yao LIN ; Yaling CHEN ; Xia HUANG ; Wenlong ZHANG ; Chen YANG ; Xiao WANG ; Jiaqiong NING ; Mengyi TU ; Zhaoxia HE
Chinese Journal of Geriatrics 2025;44(4):498-503
Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.
2.Clinical and genetic characteristics of late-onset facioscapulohumeral muscular dystrophy type 1
Fuze ZHENG ; Xinyue CHEN ; Meng YU ; Liangliang QIU ; Minghui ZENG ; Yuhua LIN ; Feng LIN ; Wei ZHANG ; Minting LIN ; Ning WANG ; Yun YUAN ; Zhiqiang WANG ; Zhaoxia WANG
Chinese Journal of Neurology 2025;58(10):1040-1047
Objective:To summarize the clinical and genetic characteristics of late-onset facioscapulohumeral muscular dystrophy type 1 (FSHD1) patients, and to compare the differences between late-onset and classic-onset FSHD1 patients.Methods:A retrospective analysis was conducted on the clinical and genetic data of genetically confirmed late-onset FSHD1 patients (age at onset30 years) between January 2007 and June 2024 from the Department of Neurology of Peking University First Hospital and the First Affiliated Hospital of Fujian Medical University. Classic-onset FSHD1 patients (10 yearsage at onset≤30 years) were matched 1∶1 according to sex and disease duration for comparison. The demographic information, the number of D4Z4 repeat units, the distal D4Z4 methylation levels, FSHD Clinical Score (CS), Clinical Severity Score (CSS), and Age-Corrected Clinical Severity Score (ACSS) of these patients were collected. Survival analysis was performed to compare the outcome of lower extremity involvement between late-onset and classic-onset FSHD1 patients. The correlation of the number of D4Z4 repeat units and D4Z4 methylation level with CS and ACSS was analyzed in late-onset FSHD1 patients.Results:A total of 61 patients with late-onset FSHD1 were enrolled, 33 (54.1%) of whom are female, with an age of 54.0 (46.0, 62.0) years and a disease duration of 14.0 (5.5, 22.5) years. Compared to classic-onset FSHD1 patients, late-onset patients exhibited significantly lower CS [7.0 (5.6, 8.4) vs 6.0 (4.4, 7.7), U=1 416.000, P=0.013], CSS [3.0 (2.8, 3.3) vs 3.0 (2.0, 4.0), U=2 352.000, P=0.010], and ACSS [189.2 (137.1, 241.3) vs 96.8 (61.3, 132.2), U=3 225.500, P0.001], and higher proportion of patients with limb girdle involvement but no facial muscle involvement [18.0% (11/61) vs 6.6% (4/61), χ2=3.725, P=0.054]. Kaplan-Meier survival analysis showed that the onset age of lower extremity involvement in late-onset patients (45 years, 95% CI 42-48 years) was significantly higher than that in classic-onset patients (24 years, 95% CI 21-27 years, χ2=61.012, P0.001). The duration from symptom onset to lower extremity involvement in late-onset patients (15 years, 95% CI 10-20 years) was significantly longer than that in classic-onset patients (8 years, 95% CI 3-13 years, χ2=9.105, P=0.003). Late-onset FSHD1 patients carried higher average distal D4Z4 methylation levels compared to those with classic-onset FSHD1 [46.68% (40.79%,52.57%) vs 41.02% (34.03%,48.00%), U=1 378.500, P=0.014]. Among late-onset FSHD1 patients, cytosine-phosphate-guanine 6 (CpG6) methylation levels were significantly negatively correlated with ACSS ( r=-0.278, P=0.025); the number of D4Z4 repeat units were significantly negatively correlated with ACSS ( r=-0.272, P=0.034);CpG6 methylation levels were significantly negatively correlated with CS ( r=-0.441, P=0.003), while no correlation was found between number of D4Z4 repeat units and CS ( r=-0.161, P=0.310). Conclusions:Compared with classic-onset FSHD1 patients, late-onset FSHD1 patients are associated with a higher degree of distal D4Z4 methylation, along with a milder muscle weakness phenotype, slower disease progression and a higher proportion of cases without facial muscle involvement. The age at onset can be used as a marker of the severity and prognosis in FSHD1.
3.Associations between statins and all-cause mortality and cardiovascular events among peritoneal dialysis patients: A multi-center large-scale cohort study.
Shuang GAO ; Lei NAN ; Xinqiu LI ; Shaomei LI ; Huaying PEI ; Jinghong ZHAO ; Ying ZHANG ; Zibo XIONG ; Yumei LIAO ; Ying LI ; Qiongzhen LIN ; Wenbo HU ; Yulin LI ; Liping DUAN ; Zhaoxia ZHENG ; Gang FU ; Shanshan GUO ; Beiru ZHANG ; Rui YU ; Fuyun SUN ; Xiaoying MA ; Li HAO ; Guiling LIU ; Zhanzheng ZHAO ; Jing XIAO ; Yulan SHEN ; Yong ZHANG ; Xuanyi DU ; Tianrong JI ; Yingli YUE ; Shanshan CHEN ; Zhigang MA ; Yingping LI ; Li ZUO ; Huiping ZHAO ; Xianchao ZHANG ; Xuejian WANG ; Yirong LIU ; Xinying GAO ; Xiaoli CHEN ; Hongyi LI ; Shutong DU ; Cui ZHAO ; Zhonggao XU ; Li ZHANG ; Hongyu CHEN ; Li LI ; Lihua WANG ; Yan YAN ; Yingchun MA ; Yuanyuan WEI ; Jingwei ZHOU ; Yan LI ; Caili WANG ; Jie DONG
Chinese Medical Journal 2025;138(21):2856-2858
4.Effect of ADAM12,S100A8,and Serum Tumor Markers on Chemotherapy Outcomes and Prognosis in Patients With Triple-Negative Breast Cancer
Zifang QIN ; Xu WANG ; Zhaoxia NIU ; Ruoxia JIANG ; Lin ZHANG
Journal of Sichuan University (Medical Sciences) 2025;56(2):528-535
Objective To investigate the influence of a disintegrin and metalloproteinase 12(ADAM12),S100 calcium binding protein A8(S100A8),and serum tumor markers on chemotherapy outcomes and prognosis in patients with triple-negative breast cancer.Methods A totla of 300 patients with breast cancer admitted between January 2020 and January 2021 were included.Based on pathological immunohistochemistry findings,the patients were divided into a triple-negative group(n=98,triple-negative breast cancer)and a non-triple-negative group(n=202,non-triple-negative breast cancer).Serum tumor markers(carcinoembryonic antigen[CEA]and carbohydrate antigen 125[CA125]),the levels of ADAM12 and S100A8,and tissue protein expression levels of ADAM12 and S100A8 were compared between the two groups.The relationship between the protein levels of ADAM12 and S100A8 in the cancer tissues and the clinicopathological characteristics of the triple-negative group was analyzed.Differences in the protein levels of ADAM12 and S100A8 between patients with different chemotherapy outcomes(remission vs.non-remission)and different follow-up outcomes(survival vs.death)were analyzed.Kaplan-Meier survival analysis was used to examine the relationship between the protein levels of ADAM12 and S100A8 in cancer tissues and the prognosis.Results The protein expression levels of ADAM12 and S100A8 in cancer tissues from the triple-negative group were higher than those in the non-triple-negative group(P<0.05).The protein expression levels of ADAM12 and S100A8 in cancer tissues were correlated with tumor diameter,histological grading,axillary lymph node metastasis,TNM staging,and differentiation degree in the triple-negative group(P<0.05).The levels of CEA,CA125,ADAM12,and S100A8,as well as the protein expression levels of ADAM12 and S100A8 in cancer tissues in the non-remission group,were higher than those in the remission group(P<0.05).Similarly,these markers were also significantly elevated in the death group compared to those in the survival group(P<0.05).After 3 years of follow-up,the overall survival(OS)of patients with low ADAM12 expression was 36.0(8.0,36.0)months,while that of patients with high ADAM12 expression was 32.5(4.0,36.0)months,showing a statistically significant difference(log rank x2=12.913,P<0.001).The OS of patients with low S100A8 expression was 36.0(7.0,36.0)months,while that of the high-expression group was 31.0(4.9,36.0)months,also showing a statistically significant difference(log rank x2=24.151,P<0.001).Conclusion ADAM12 and S100A8 protein expression levels in triple-negative breast cancer tissues are higher than those in non-triple-negative breast cancer tissues.Serum tumor markers and ADAM12 and S100A8 protein expression levels(in both serum and tumor tissues)affect the chemotherapy outcomes and prognosis of triple-negative breast cancer patients,among which the expression levels of ADAM12 and S100A8 proteins in tumor tissues can serve as predictors of patient prognosis.
5.Analysis of clinical features of nasal pleomorphic adenoma
Shengnan ZHANG ; Lin WANG ; Xuehui LI ; Longgang YU ; Xudong YAN ; Junfeng WEN ; Zhaoxia WEI ; Yan JIANG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(1):42-46
Objective:To analyze the clinical features of nasal pleomorphic adenoma and to share clinical insights into its diagnosis and treatment.Methods:This was a case series study. Clinical data of 12 patients with nasal pleomorphic adenoma, confirmed by histopathology, admitted to the Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Qingdao University from 2014 to 2023, were retrospectively analyzed. This cohort included 3 males and 9 females, aged 12-84 years old. The pathogenesis, clinical manifestations, imaging features, pathological features, treatment methods and prognosis were analyzed.Results:Among the 12 patients with nasal pleomorphic adenoma, the most common symptom was nasal obstruction (8 cases), and the most common site was nasal septum (7 cases). Of the 12 patients, 9 had benign tumors, and 3 had malignant tumors. Postoperative follow-up ranged from 10 months to 9 years. One benign case recurred at 5 years after surgery and was left untreated after recurrence. The remaining 11 cases had shown no recurrence to date.Conclusions:Nasal pleomorphic adenoma is rare in clinical practice, typically occurring in the nasal septum. The primary symptom is nasal obstruction. Diagnosis is primarily based on histopathology, and surgical resection is the primary treatment.
6.Elucidation of the anti-head and neck squamous cell carcinoma mechanism of Phellinus baumii polyphenol based on network pharmacology and experimental verification
Zhaoxia YU ; Ben MA ; Lin QIU ; Qian GAO ; Na NI
Tianjin Medical Journal 2025;53(5):456-461
Objective To investigate the effects of Phellinus baumii polyphenol(PBP)on head and neck squamous cell carcinoma(HNSCC)and analyze the potential mechanism based on network pharmacology and in vitro experiments.Methods Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),DrugBank,GeneCards,Comparative Toxicogenomics Database(CTD)and Online Mendelian Inheritance in Man(OMIM)database were used to screen the active components of PBP and potential targets of PBP on HNSCC.The potential target interaction network was constructed using String database,and the core targets were screened by two-step topology analysis.Enrichment analysis of potential targets was performed using the DAVID database.Human HNSCC cell lines SCC-15 and SCC-25 were cultured in vitro using PBP intervention of 0,25,50 mg/L,respectively.The cell proliferation and colony formation ability were detected by cell counting reagent(CCK-8)and colony formation assay.Western blot assay was used to detect the expression of PBP core target protein in 2 cell lines.Results A total of 280 targets were identified for 17 active components of PBP,264 of which were HNSCC-related genes.Two-step topology analysis showed that hypoxia inducible factor 1 subunit alpha(HIF1A),tumor protein p53(TP53),AKT serine/threonine kinase 1(AKT1),signal transducer and activator of transcription 3(STAT3),cyclin A2(CCNA2)and JUN proto-oncogene(JUN)were the core targets.The enrichment results suggested that PBP may play a role in HNSCC through various pathways.In vitro experiment results showed that with the increase of PBP intervention concentration,the proliferation ability and colony formation ability of SCC-15 and SCC-25 cells were significantly decreased(P<0.05),while the protein expression levels of STAT3,AKT1 and CCNA2 were decreased(P<0.05).Conclusion PBP can inhibit the progression of HNSCC by multi-target and multi-pathway.
7.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
8.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 WEN ; 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(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
9.Study on Tongue and Pulse Characteristics of Patients with Phlegm-Damp Syndrome in Polycystic Ovary Syndrome
Yujie ZHANG ; Lujia SHOU ; Jieqi LIN ; Zhaoxia XU
World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(11):3400-3413
Objective Observe the tongue and pulse characteristics of PCOS patients with phlegm-damp syndrome,explore a model for identifying PCOS patients with phlegm-damp syndrome,and provide certain objective tongue and pulse diagnostic indicators with TCM characteristics for clinical treatment.Methods A total of 172 medics were recruited from the Affiliated Shuguang Hospital of Shanghai University of Traditional Chinese Medicine,the Shanghai Hospital of Traditional Chinese Medicine,and Shanghai University of Traditional Chinese Medicine.Including PCOS group(including 68 cases with phlegm-damp syndrome and 38 cases without phlegm-damp syndrome),postmenstrual period group(35 with phlegm-damp syndrome),and normal control group with phlegm-damp syndrome(31).The Smart TCM-Ⅰ type of TCM physiological information analysis system was used to collect tongue image information(including parameters of tongue color and tongue coating)and pulse image information(including amplitude and time domain parameters of pulse wave).Results Comparison of tongue parameters showed that compared to the menstrual late phase group with phlegm-damp syndrome,the PCOS group with phlegm-damp syndrome showed significantly higher levels of TC H,TC TIP G,TC TIP B,and TC TIP H,but lower TC TIP S;Compared to the control group with phlegm-damp syndrome,the PCOS group with phlegm-damp syndrome exhibited significantly lower levels of TC ROOT R,TC ROOT V,CC R,CC G,CC B,CC V,CC MID R and CC MID V;Compared to the control group with phlegm-damp syndrome,the menstrual late phase group with phlegm-damps syndrome showed significantly lower levels of TC H,TC R,TC B,TC G,TC V,TC MID H,TC TIP G,TC TIP B,CC R,CC H,CC V,and CC MID H,but higher TC TIP S.The above differences were all significant(P<0.05).Comparison of pulse wave parameters showed that compared with the normal group,the PCOS group showed increased values in H4/H1 L、T4/T L、W1/T L、H2/H1 R、H4/H1 R、W1/T R、H2/H1 L,and T1/T L,while T5/T4 L was decreased;In the menstrual late-phase group,H4/H1 L、H5/H1 L、W1/T L、W1/T R、H2/H1 L、T1/T L、T4/T L、T1/T4 L、H2/H1 R,and H4/H1 R were higher,whereas T5/T4 L were lower.The above differences were all statistically significant(P<0.05).The nomogram diagnostic model for phlegm-damp syndrome of PCOS was established by combining tongue and pulse diagnosis parameters.And the model had a certain reliability.Conclusion The certain objective parameters of tongue and pulse diagnosis can help predict to a certain extent the phlegm-damp syndrome of PCOS,postmenstrual period,and normal control group with phlegm-damp syndrome and non-phlegm-dampness syndrome of PCOS.
10.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

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