1.Analysis of Related Factors Influencing One-year Recurrence of Polymyalgia Rheumatica
Jie YANG ; Yu ZOU ; Cuifeng SUN ; Jia LIU ; Li WANG ; Lidan ZHAO ; Jinjing LIU ; Mengtao LI
Medical Journal of Peking Union Medical College Hospital 2025;17(1):166-171
To identify factors associated with the recurrence of polymyalgia rheumatica(PMR) within one year. This study included 64 patients diagnosed with PMR at Peking Union Medical College Hospital between January 2019 and June 2024. The baseline characteristics of patients with and without recurrence were compared, and logistic regression analysis was performed to identify risk factors for recurrence. The mean age at onset was 65.1±7.9 years, with a male-to-female ratio of 1:3.3. The average duration from onset to diagnosis was 4.5±3.7 months. At baseline, the average erythrocyte sedimentation rate(ESR) was 67.0±29.2 mm/h, with 11 patients(17.2%) having an ESR > 100 mm/h, and the average C-reactive protein(CRP) level was 57.9±51.3 mg/L. Corticosteroids were used as the initial treatment in 95.3% of patients, with an average dose of 21.6±11.6 mg/day. During the 12-month follow-up, 35.9% of patients experienced recurrence, with the median time to first recurrence being 8.2±3.3 months.The cumulative recurrence rates at 3, 6, 9, and 12 months were 6.3%, 14.1%, 25%, and 35.9%, respectively. Comparisons between patients with and without recurrence revealed significant differences in age(68.7±6.5 The one-year recurrence rate of PMR is 35.9%. Older age and lower serum albumin levels are associated with recurrence, and age may be associated with disease recurrence within one year.
2.Development and validation of a risk prediction model for in-stent restenosis after percutaneous coronary intervention
Jie HUANG ; Qilin ZOU ; Junqiu ZHAO ; Luyao DING
Chinese Journal of Primary Medicine and Pharmacy 2025;32(1):53-59
Objective:To develop and validate a risk prediction model for in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).Methods:This prospective study included 126 patients with acute myocardial infarction (AMI) who underwent PCI at Lishui Central Hospital from May 2021 to April 2023. The patients were divided into two groups based on whether they experienced ISR after PCI: ISR group ( n = 33) and non-ISR group ( n = 93). Clinical data were compared between the two groups. Binary logistic regression was used to identify independent risk factors for ISR in patients with AMI after PCI. A risk prediction model was then developed, and the predictive value of the model was assessed using receiver operating characteristic curve analysis. Results:After surgery, significant differences were observed between the ISR and non-ISR groups regarding postoperative smoking [21(63.64%) vs. 27(29.03%)], elevated uric acid level [19 (57.58%) vs. 28(30.11%)], serum amyloid A (SAA) ≥ 10 mg/L [20(60.61%) vs. 26(27.96%)], and lipoprotein(a) [Lp(a)] ≥ 300 mg/L [21(63.64%) vs. 32(34.41%)] [ χ2 = 12.36, 7.85, 11.20, 8.53, all P < 0.05]. Postoperative smoking, elevated uric acid levels, SAA ≥ 10 mg/L, and Lp(a) ≥ 300 mg/L were identified as independent risk factors for ISR in patients with AMI after PCI ( OR = 0.234, 0.317, 0.252, 0.300, all P < 0.05). A risk prediction model for ISR after PCI was developed based on postoperative smoking, elevated uric acid levels, SAA levels, and Lp(a) levels ≥ 300 mg/L. Receiver operating characteristic curve analysis revealed the areas under the curve were 0.673 [95% CI(0.564, 0.782)], 0.637 [95% CI(0.525, 0.750)], 0.663 [95% CI(0.552, 0.774)], 0.646 [95% CI(0.536, 0.757)], and 0.889 [95% CI(0.821, 0.958)] for ostoperative smoking, elevated uric acid levels, SAA levels, Lp(a) levels ≥ 300 mg/L, and the risk prediction model, respectively. At the critical threshold values, the sensitivities for these variables were 0.636, 0.576, 0.606, 0.636, and 0.909, respectively, while the specificities were 0.710, 0.699, 0.720, 0.656, and 0.763, respectively. The bootstrap method (B = 1000) was used for the internal validation of the risk prediction model. After bias correction, the predicted curve approached the ideal curve, yielding a consistency index of 0.778, which indicates a high predictive value for the model. Moreover, the risk prediction model demonstrated a net benefit greater than 0 within a threshold probability range of 0.02 to 0.93, exceeding two ineffective thresholds. Conclusions:Postoperative smoking, elevated uric acid levels, SAA, and Lp(a) are independent risk factors for ISR in patients with AMI after PCI. The risk prediction model developed based on these four factors demonstrates a high predictive value, which can aid in assessing the risk of ISR in AMI patients with AMI after PCI and in formulating appropriate intervention measures.
3.Intraoperative hypothermia risk prediction models for patients undergoing cancer surgery: a scoping review
Yuting ZOU ; Ruichen LIANG ; Yue ZHAO ; Jie CHENG ; Xiaoli XIA ; Xue LIN ; Daiying ZHANG
Chinese Journal of Practical Nursing 2025;41(19):1504-1511
Objective:To conduct a scoping review of risk prediction models for the development of intraoperative hypothermia in patients undergoing cancer surgery to inform clinical nursing practice and future research.Methods:Relevant literature on constructing or validating intraoperative hypothermia risk prediction models for cancer surgery patients in five foreign language databases (PubMed, Embase, Web of Science, Cochrane Library, CINAHL) and four Chinese language databases (China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Database) were searched from the time of library construction to June 1, 2024, extracted information on the applicable target, incidence of intraoperative hypothermia, methodology of model construction, predictors and performance, etc. The Prediction model Risk Of Bias Assessment Tool was used to evaluate the risk of bias of the studies, and the included literature was analyzed and discussed.Results:A total of 15 pieces of literature involving 18 models were included, with the study population focussing on patients undergoing surgery for colorectal cancer. The rate of intraoperative hypothermia ranged from 15.14% to 61.5%. Model construction methods included 2 types of Logistic regression models and machine learning, and model presentation was based on column-line plots. There were 8 predictors that appeared with a frequency of ≥5, including age, body mass index, operation time, anaesthesia time, operating room temperature, intraoperative rehydration volume, intraoperative bleeding volume, and heat preservation method.Conclusions:The performance of the included model was good, but the risk of bias was high for the predictors and the analysis part, and nursing staff should pay close attention to the risk factors of intraoperative hypothermia in patients undergoing cancer surgery, construct a risk prediction model with low bias and high applicability, and validate and improve the existing risk prediction model.
4.Microscopic Identification of Micro-Traits and Microscopic Identification of Peucedani Radix and Its Common Varieties
Lisi ZOU ; Liang NI ; Jie RAN ; Yi YAO ; Yanan PAN ; Rouxing CHEN
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(7):946-960
OBJECTIVE To study the characteristics,micro-traits and microscopic characteristics of Peucedani radix and seven kinds of its common varieties and summarize the key identification characteristics so as to provide a reference for the effective identifica-tion of Peucedani radix and its common varieties.METHODS The key identification features and high-definition images of Peucedani radix and its common varieties were obtained by using the identification methods of traits,microtraits and microscopy,combined with the techniques of depth-of-field extended imaging and image stitching,and some of the features were digitally extracted and statistical-ly analyzed by SPSS26.0 software.RESULTS The high-definition color image data of Peucedani radix and its common varieties were obtained.Its specific identification features were:root head length and annular sparseness,skin pore shape and area,root texture,and fracture surface oil spot density,etc.under the property identification;the diameter and number of oil chambers,the number of cathe-ters,the presence or absence of bast fibers and wood fibers,etc.under the microscopic identification.The results of statistical analysis showed that there were significant differences in skin pore area,oil chamber diameter and density,and conduit density among different varieties of Peucedani radix(P<0.01).CONCLUSION Micro-traits and microidentification methods can be comprehensively ap-plied to distinguish Peucedani radix and its common varieties.In particular,the microscopic features of polarized light holographic col-or images in cross section have significant distinguishing significance,and some of the features are digitally extracted and statistically analyzed,which makes up for the shortcomings of subjective factors in the traditional empirical identification research,and provides a reference for the circulation,testing,clinical medication,and standard drafting of Peucedani radix.
5.Analysis and prevention of influencing factors for work-related musculoskeletal disorders among bus drivers
Yaling ZOU ; Jie ZHANG ; Wenyan HUANG ; Shiqi QIU ; Jintong HE ; Ning JIA ; Zhongxu WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(4):269-274
Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in bus drivers in Zhuhai City, analyze the ergonomic factors, and explore the prevention and control measures of WMSDs.Methods:From March to May 2023, 1675 active bus drivers from 5 branches of a bus group in Zhuhai were selected by stratified sampling method. The incidence of WMSDs among bus drivers in the past 12 months was investigated by using the modified Chinese Version of Musculoskeletal Disorders Questionnaire. The influencing factors of WMSDs were analyzed by χ2 test and generalized linear model. Results:The total incidence of WMSDs in bus drivers in the past 12 months was 47.2% (790/1675) , and the incidence of WMSDs in neck and shoulder and lower back was 36.9% (618/1675) and 31.7% (531/1675) , respectively. The χ2 test showed that there were statistically significant differences in the incidence of WMSDs among bus drivers with different individual factors such as body mass index (BMI) , physical exercise and looking down at mobile phones ( P<0.05) . There were significant differences in the incidence of WMSDs in the neck and shoulder of bus drivers with different years of service and number of stops on their routes ( P<0.05) . There were statistically significant differences in the incidence of WMSDs in the lower back of bus drivers with different one-way driving time, shift patterns, and rest breaks during work ( P<0.05) . Abnormal BMI, professional working years >12 years, uncomfortable working posture, frequent turning, slightly forward neck posture, large forward neck posture and long shoulder posture were the risk factors for WMSDs of bus drivers ( P<0.05) , and comfortable seat was the protective factor ( P<0.05) . One-way driving time >70 min, shift work schedules, uncomfortable working posture, slightly forward back posture, and frequent turning were the risk factors leading to lower back WMSDs ( P<0.05) , and physical exercise, comfortable driving cabin space, and seat comfort were the protective factors ( P<0.05) . Conclusion:The total incidence of WMSDs in bus drivers is higher, and ergonomic factors are related to the occurrence of WMSDs. In the implementation of bus driving space comfort, human-computer interaction interface friendliness and seat comfort, employers should be reasonable allocation of fitness facilities, regular training, reasonable shift organization and other measures to prevent and control the occurrence of bus drivers WMSDs.
6.Consensus on informed consent for orthodontic treatment
Yang CAO ; Bing FANG ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Lin WANG ; Haiping LU ; Zhihe ZHAO ; Tianmin XU ; Weiran LI ; Min HU ; Jinlin SONG ; Jun WANG ; Fang JIN ; Ding BAI ; Xianglong HAN ; Yuehua LIU ; Bin YAN ; Jie GUO ; Jiejun SHI ; Yongming LI ; Zhihua LI ; Xiuping WU ; Jiangtian HU ; Linyu XU ; Lin LIU ; Yi LIU ; Yanqin LU ; Wensheng MA ; Shuixue MO ; Liling REN ; Shuxia CUI ; Yongjie FAN ; Jianguang XU ; Lulu XU ; Zhijun ZHENG ; Peijun WANG ; Rui ZOU ; Chufeng LIU ; Lunguo XIA ; Li HU ; Weicai WANG ; Liping WU ; Xiaoxing KOU ; Jiali TAN ; Yuanbo LIU ; Bowen MENG ; Yuantao HAO ; Lili CHEN
Chinese Journal of Stomatology 2025;60(12):1327-1336
This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.
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.Analysis of potential prognostic value of HAMP gene in gastric adenocar-cinoma and correlation with immune infiltration
Ni TANG ; Qian ZOU ; Han-jing ZHANG ; Huan-hui LIU ; Xiao-jie MA
Chinese Journal of Current Advances in General Surgery 2025;28(7):505-510
Objective:To explore the potential prognostic value of the HAMP(hepcidin)gene in gastric adenocarci-noma and its correlation with immune infiltration in gastric cancer.Methods:This study systematically analyzed the ex-pression characteristics of the HAMP gene using bioinformatics approaches based on mRNA data from 448 gastric ad-enocarcinoma tissues and non-tumor tissues in the TCGA database.Firstly,the cBioPortal platform was employed to analyze the genetic variation features of the HAMP gene,and the LinkedOmics database was used to evaluate the corre-lation between its methylation status and expression levels.Kaplan-Meier survival analysis with log-rank test was per-formed to assess the relationship between HAMP expression levels and patient prognosis.Furthermore,by integrating TIMER2.0 and TISIDB databases,we systematically evaluated the correlation between HAMP expression and immune-related genes as well as immune cell infiltration.Gene Set Enrichment Analysis(GSEA)was conducted to investigate HAMP-associated signaling pathway characteristics.Finally,STRING and Gepia databases were utilized to construct a protein-protein interaction network of HAMP and identify core interacting genes,comprehensively evaluating the role of HAMP in immune infiltration in gastric adenocarcinoma.Results:The expression level of HAMP was significantly higher in gastric adenocarcinoma tissues compared to normal tissues(P<0.01),and its elevated expression was strongly associ-ated with poor patient prognosis,manifested by significantly shorter overall survival(OS),progression-free survival(PFS),and post-progression survival(PPS)(all P<0.05).Genomic analysis revealed that HAMP mutations in gastric cancer were predominantly amplification-type,and its methylation level showed a positive correlation with mRNA expression(r=0.14,P<0.001).Immunological analysis demonstrated that high HAMP expression was significantly correlated with multiple key immune checkpoint molecules(PD-1:rho=0.274;PD-L1:rho=0.211;CTLA-4:rho=0.199,all P<0.001)and immune cell infiltration(dendritic cells:r=0.548;macrophages:r=0.414;neutrophils:r=0.374,all P<0.001).Pathway enrichment analy-sis indicated that the high HAMP expression group was significantly enriched in immune-related pathways including anti-gen presentation and NK cell-mediated cytotoxicity.Furthermore,protein-protein interaction network analysis identified core interacting genes such as TREM2 and TYROBP,suggesting that HAMP may participate in tumor immune regulation through specific molecular networks.Conclusion:HAMP is highly expressed in gastric cancer,and its high expression significantly reduces the survival time of gastric adenocarcinoma patients,demonstrating prognostic value.HAMP ex-pression is positively correlated with most immune-related genes in STAD and significantly associated with the abun-dance of multiple immune cell infiltration levels,serving as an independent prognostic factor related to immune infiltration.
10.Native liver survival and related factors of biliary atresia: a single center′s experiences with 357 cases
Jie DONG ; Bo LI ; Yong XIAO ; Ming LI ; Tidong MA ; Ting XIE ; Guang XU ; Chanjuan ZOU ; Renpeng XIA ; Chonggao ZHOU
Chinese Journal of Applied Clinical Pediatrics 2025;40(12):915-920
Objective:To describes the probability and rate of native liver survival (NLS) in biliary atresia (BA) patients after Kasai portoenterostomy (KPE)over various time periods and analyzes the perioperative factors associated with liver transplantation or death.Methods:A retrospective case-summary.BA patients administrated at the Department of Fetal and Neonatal Surgery in Hunan Children′s Hospital between January 2015 and December 2021.Probability and rate of NLS were calculated by life table.Cox proportional hazards regression model and Logistic model was applied to explore the perioperative factors related to post-Kasai liver transplantation/death.Results:The median age at Kasai surgery was 62 days.The rate of jaundice clearance (JC) was 64.5% within 3 months after Kasai, and 58.3% of the patients had cholangitis.The probability of NLS reached its lowest point in the first 1 year after Kasai (76.2%) and ranged from 93.2% to 98.0% in years 2-8 after Kasai.The rates of NLS in 2 years, 5 years and 8 years were 71.1%, 62.8% and 56.0%, respectively.Cytomegalovirus (CMV) infection before or on the day of Kasai without antiviral treatment can increase the risk of liver transplantation or death[ HR(95% CI): 1.628 (1.081-2.452), P=0.020].Preoperative gamma-glutamyl transferase increased the risk of liver transplantation/death within 1 year after Kasai[ OR(95% CI): 1.001 (1.000-1.001), P=0.021], and early cholangitis was a risk factor for liver transplantation/death within 5 years after Kasai[ OR(95% CI): 1.934 (1.004-3.726), P=0.048].JC within 3 months post-KPE was a protective factor of NLS. Conclusions:The first year after Kasai was the highest risk period for liver transplantation/death, which should be the focus of follow-up management.JC within 3 months after surgery is the protective factor for overall NLS, 1-year NLS and 5-year NLS.

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