1.Serological characteristics of individuals with hepatitis C virus/hepatitis B virus overlapping infection
Yanfei CUI ; Xia HUANG ; Chao ZHANG ; Yingjie JI ; Song QING ; Yuanjie FU ; Jing ZHANG ; Li LIU ; Yongqian CHENG
Journal of Clinical Hepatology 2026;42(1):74-79
ObjectiveTo investigate the status of overlapping hepatitis B virus (HBV) infection in patients with chronic hepatitis C virus (HCV) infection and the serological characteristics of such patients. MethodsA total of 8 637 patients with HCV infection who were hospitalized from January 1, 2010 to December 31, 2020 and had complete data of HBV serological markers were enrolled, and the composition ratio of patients with overlapping HBV serological markers was analyzed among the patients with HCV infection. The patients were divided into groups based on age and year of birth, and serological characteristics were analyzed, and the distribution of HBV-related serological characteristics were analyzed across different HCV genotypes. ResultsThe patients with HCV/HBV overlapping infection accounted for 5.85%, and the patients with previous HBV infection accounted for 48.10%; the patients with protective immunity against HBV accounted for 14.67%, while the patients with a lack of protective immunity against HBV accounted for 31.39%. The patients were divided into groups based on age: in the 0 — 17 years group, the patients with protective immunity against HBV accounted for 61.41% (304 patients); the 18 — 44 years group was mainly composed of patients with previous HBV infection (698 patients, 37.31%), the 45 — 59 years group was predominantly composed of patients with previous HBV infection (1 945 patients, 50.38%), and the ≥60 years group was also predominantly composed of patients with previous HBV infection (1 486 patients, 61.66%). The patients were divided into groups based on the year of birth: in the pre-1992 group, the patients with previous HBV infection accounted for 51.63% (4 112 patients); in the 1992 — 2005 group, the patients with protective immunity against HBV accounted for 54.72% (168 patients); in the post-2005 group, the patients with protective immunity against HBV accounted for 64.38% (235 patients). In this study, 6 301 patients underwent HCV genotype testing: the patients with genotype 1b accounted for the highest proportion of 51.71% (3 258 patients), followed by those with genotype 2a (1 769 patients, 28.07%), genotype 3b (63 patients, 1.00%), genotype 3a (10 patients, 0.16%), genotype 4 (21 patients, 0.33%), and genotype 6a (5 patients, 0.08%). ConclusionWith the implementation of hepatitis B planned vaccination program in China, there has been a significant reduction in the proportion of patients with previous HBV infection among the patients with HCV/HBV overlapping infection, but there is still a relatively high proportion of patients with a lack of protective immunity against HBV.
2.Analysis of factors correlating with the initial seizure threshold in modified electroconvulsive therapy for patients with mental disorders
Yingyin LI ; Peng YANG ; Meijie WANG ; Yajie SHI ; Yanfei LI ; Kun LI ; Xiaoming ZHANG
Sichuan Mental Health 2025;38(4):302-307
BackgroundModified electroconvulsive therapy (MECT) is a common front-line strategy widely used in psychiatric practice, and the optimal first stimulus dosage in MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold (IST). However, previous studies on the influencing factors of IST have mostly suffered from limitations such as small sample sizes and single-dimensional research perspectives. ObjectiveTo explore the factors influencing IST in MECT for patients with mental disorders, so as to provide references for stimulus dosing strategies in MECT for the patients. MethodsA retrospective study was used to include 1 446 inpatients fulfilling the diagnostic criteria for any specific mental disorder listed in the ICD-10 and receiving MECT at Shandong Daizhuang Hospital from January 1, 2021 to August 1, 2023. Their general and clinical data were collected, including IST, psychiatric diagnostic categories, gender, ethnicity, age, body weight, body mass index (BMI), course of disease, family history of psychiatric disorders, first episode status, use of antiepileptic drugs the day before treatment, use of benzodiazepines the day before treatment, and previous MECT treatment history. Pearson correlation analysis was utilized to test the correlation of IST with age, height, body weight, BMI, and course of disease, and stepwise multivariate linear regression analysis was performed to identify the factors affecting IST. ResultsIST yielded statistical difference among patients in terms of gender, first episode status, use of antiepileptic drugs the day before treatment, and use of benzodiazepines the day before treatment (t=2.256, -3.059, -2.136, -3.006, P<0.05 or 0.01). IST in patients of different ages and psychiatric diagnostic categories also demonstrated statistical difference (F=913.120, 6.212, P<0.01). Within young population, IST varied significantly based on the psychiatric diagnostic categories (F=2.986, P<0.05). Correlation analysis indicated that IST was positively correlated with age, body weight, BMI and course of disease (r=0.886, 0.055, 0.184, 0.456, P<0.05 or 0.01), and negatively correlated with height (r=-0.183, P<0.01). Stepwise multivariate linear regression analysis revealed that age, gender, and body weight were influencing factors of IST (β=0.888, -0.049, -0.035, P<0.01). ConclusionsAge, gender and body weight may be factors influencing IST in MECT for patients with mental disorders. [Funded by Key R&D Plan Projects of Jining City in 2024 (number, 2024YXNS202)]
3.Characteristics of malignant tumor incidence and mortality in cancer registration areas of Zhejiang Province in 2021
DU Lingbin ; QIU Yu ; LI Huizhang ; LI Runhua ; ZHU Chen ; WANG Le ; QIU Yanfei
Journal of Preventive Medicine 2025;37(10):973-978
Objective:
To investigate the characteristics of malignant tumor incidence and mortality in cancer registration areas of Zhejiang Province in 2021.
Methods:
Based on the 2021 cancer registration data from 22 national cancer registries in Zhejiang Province, the crude incidence, crude mortality, and cumulative rate for 0 to 74 years were calculated. Age standardized was performed using the age composition of the standard population from the Fifth National Population Census in 2000 and Segi's world standard population. The incidence and mortality characteristics of malignant tumor in different genders, urban/rural areas and ages were described. The order of crude incidence and mortality of malignant tumor were analyzed.
Results:
In 2021, there were 116 639 new malignant tumor cases in Zhejiang Province. The crude, Chinese population standardized, and world population-standardized incidences were 530.93/100 000, 304.83/100 000, and 288.20/100 000, respectively. The cumulative incidence for 0 to 74 years was 31.92%. There were 40 475 death cases. The crude, Chinese population-standardized, and world population-standardized mortalities were 184.24/100 000, 79.40/100 000, and 78.97/100 000, respectively. The cumulative mortality for 0 to 74 years was 8.37%. The Chinese population-standardized incidence for males and females were 286.34/100 000 and 323.45/100 000, respectively, and the Chinese population-standardized mortality were 106.25/100 000 and 54.17/100 000, respectively. The Chinese population-standardized incidence for urban and rural were 316.85/100 000 and 285.11/100 000, respectively, and the Chinese population-standardized mortality were 75.59/100 000 and 85.48/100 000, respectively. The crude incidence and crude mortality of malignant tumor both increased with age, peaking in the groups aged 80-<80 and ≥85 years at 1 845.06/100 000 and 1 656.88/100 000, respectively. The top ten malignant tumors with the highest crude incidence were, in descending order: lung cancer, thyroid cancer, breast cancer, prostate cancer, colorectal cancer, gastric cancer, liver cancer, cervical cancer, lymphoma, and brain tumors. These accounted for 80.34% of all new malignant tumor cases. The top ten malignant tumors with the highest crude mortality were, in descending order: lung cancer, liver cancer, colorectal cancer, gastric cancer, pancreatic cancer, prostate cancer, breast cancer, esophageal cancer, lymphoma, and gallbladder cancer. These accounted for 82.26% of all malignant tumor deaths.
Conclusions
In 2021, the cancer registration areas of Zhejiang Province were characterized by a relatively high malignant tumor incidence and a comparatively low mortality compared to national data. Males and the elderly emerged as key populations for targeted prevention and control. It is recommended to enhance screening, early diagnosis, and early treatment for lung cancer, thyroid cancer, prostate cancer, breast cancer, and gastric cancer malignancies.
4.AI-integrated IQPD framework of quality prediction and diagnostics in small-sample multi-unit pharmaceutical manufacturing: Advancing from experience-driven to data-driven manufacturing.
Kaiyi WANG ; Xinhai CHEN ; Nan LI ; Huimin FENG ; Xiaoyi LIU ; Yifei WANG ; Yanfei WU ; Yufeng GUO ; Shuoshuo XU ; Lu YAO ; Zhaohua ZHANG ; Jun JIA ; Zhishu TANG ; Zhisheng WU
Acta Pharmaceutica Sinica B 2025;15(8):4193-4209
The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.
5.Influencing factors of mood and sleep among special operation personnel
Yanfei ZHANG ; Guorui LIU ; Xiao PAN ; Yihao WANG ; Guanxiong LI ; Yajing WANG ; Li LU ; Chunyue ZHANG ; Feng LENG ; Yonghai BAI
Academic Journal of Naval Medical University 2025;46(9):1235-1239
Objective To investigate the factors influencing mood and sleep among special operation personnel,so as to provide evidence for the prevention and intervention of related issues.Methods A total of 600 special operation personnel during their special duty were enrolled by random sampling method.Basic information was collected by a general information questionnaire.Mood and sleep status were evaluated by self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Pittsburgh sleep quality index scale(PSQI).Results Spearman correlation analysis showed that factors associated with anxiety were years of work experience(r=0.099,P=0.016),family residence(r=-0.153,P<0.001),and sleep status(r=0.199,P<0.001);the factors associated with depression were relationship with parents(r=-0.134,P=0.001),family residence(r=-0.144,P<0.001),and sleep status(r=0.122,P=0.003);and the factors associated with sleep were age(r=0.088,P=0.031),years of work experience(r=0.079,P=0.049),and number of children(r=0.083,P=0.043).Binary logistic regression analysis showed that depression was not an influencing factor of sleep(odds ratio[OR]=1.302,95%confidence interval[95%CI]0.759-1.758,P=0.086),while anxiety was an influencing factor of sleep(OR=2.187,95%CI 1.608-4.695,P=0.001).Conclusion The sleep status of special operation personnel investigated in this survey is related to age and years of work experience,and is influenced by anxiety.Therefore,greater attention should be given to sleep issues in the occupational health support of special operations.Additionally,years of work experience,family residence,relationship with parents,and sleep status are related to anxiety and depression among special operation personnel.It is necessary to focus on the mental health of older workers and those with longer tenure.
6.Regulatory Mechanism of Keap1/Nfe2L2 on Osteogenic Differentiation in Periodontitis
Yanfei HUANG ; Hongbin YU ; Lingyun YIN ; Jing LIANG ; Changquan LI ; Dehong LI ; Jinyuan WANG ; Qian OUYANG
Journal of Kunming Medical University 2025;46(7):26-37
Objective To explore the regulatory mechanism of NFE2L2/KEAP1 in alveolar bone repair induced by periodontitis.Methods A rat periodontitis model was established and divided into four groups:Control group(n=6);Periodontitis model group(n=6);Periodontitis+lentivirus empty vector group(n=6);Periodontitis+NFE2L2 overexpression plasmid group(n=6).Histopathological changes in each group were observed using HE staining.TRAP staining was used to detect osteoclast positivity,while ELISA was employed to measure inflammatory cytokine levels in tissues.Immunofluorescence and qPCR were used to detect NFE2L2 expression,and western blot was used to assess the expression of osteogenic proteins ALPL2,RUNX2,and COL1.Primary periodontal ligament cells(hPDLCs)were cultured,and cells were transfected to overexpress NFE2L2 and KEAP1.The cells were divided into six groups:Normal group;Model group;pcDNA-NC group;pcDNA-NFE2L2 group;pc-NFE2L2+pcDNA-NC group;pc-NFE2L2+pcDNA-KEAP1 group.A cellular model was established,and the morphology of primary hPDLCs was observed under a microscope.Cell proliferation was assessed using CCK-8.Osteogenic mineralization was observed using alizarin red staining,and western blot was used to detect osteogenic proteins and autophagy markers.Cell migration was observed using a scratch assay.Results(1)After model induction,redness,swelling of the gums,extensive inflammatory infiltration,and alveolar bone resorption were observed,confirming successful model establishment.Partial tissue recovery occurred after NFE2L2 overexpression via lentivirus.(2)After model induction,osteoclast positivity increased,confirming successful model establishment.Overexpression of NFE2L2 reduced osteoclast positivity(P<0.001).(3)After model induction,levels of IL-1β,IL-10,and TNF-α were significantly higher than in the normal group(P<0.05),confirming successful model establishment.Transfection with NFE2L2 lentivirus reduced inflammatory cytokine levels(P<0.0001).After model induction,osteogenic protein expression decreased compared to the normal group,but overexpression of NFE2L2 increased osteogenic protein expression(P<0.05).(5)LPS treatment significantly reduced cell viability,while NFE2L2 overexpression enhanced it(P<0.0001).(6)LPS treatment reduced calcified nodules,while NFE2L2 overexpression increased them.Addition of pcDNA-KEAP1 reduced mineralized nodules.(7)LPS treatment decreased osteogenic protein expression,while NFE2L2 overexpression increased it.However,addition of pcDNA-KEAP1 reduced osteogenic protein expression(P<0.05).(8)LPS treatment reduced cell migration,whereas NFE2L2 overexpression enhanced it(P<0.0001).(9)Expression of autophagy markers decreased after LPS treatment,but increased after transfection with NFE2L2 plasmid.However,addition of pcDNA-KEAP1 reduced the expression of autophagy markers(P<0.05).Conclusion This study identified the regulatory role of NFE2L2/KEAP1 in periodontitis,providing a scientific basis for the treatment of periodontitis.
7.Distribution of Nardosinone and Its Metabolites in Rats Analyzed by UPLC-Q-Exactive Orbitrap MS/MS
Lijuan SHI ; Xuelian ZHAO ; Yifan TIAN ; Limin LI ; Yuan LIU ; Xiaojiang ZHOU ; Yanfei HUANG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(22):187-195
ObjectiveUltra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS/MS) was used to investigate the metabolism and distribution of nardosinone in rats, then metabolic pathways were speculated. MethodRats were administered with 30 mg·kg-1 of nardosinone suspension by gavage for 3 consecutive days, and plasma, urine, feces, and tissues of heart, liver, spleen, lung, kidney, brain, stomach, and intestine were collected at predetermined time points. After treatment, the samples were processed for UPLC-Q-Exactive Orbitrap MS/MS, and the MS data were analyzed using Xcalibur 2.2 software. The metabolites were searched by comparing the base peak chromatogram and extracted ion chromatogram between the treated group and blank group, and based on the relative retention time(tR), quasi-molecular ion peak, precise molecular mass, and fragment ions of MS/MS, the elemental composition were searched using databases such as SciFinder and PubChem, as well as referring to relevant literature, the possible metabolites were identified and the metabolic pathways were inferred. ResultA total of 30 metabolites of nardosinone were identified, including 15, 19, 12, 7, 4, 11, 8, 13, 13, 8 and 12 metabolites in urine, feces, plasma, brain, heart, liver, spleen, lung, kidney, stomach and intestine, respectively. The main metabolic pathways of nardosinone in rats were hydroxylation, dehydroxylation, reduction, dehydrogenation, hydration, dehydration, carboxylation, glucuronidation, and dehydroxy-isopropyl. ConclusionNardosinone can be metabolized by phase Ⅰ and phase Ⅱ metabolism in rats, and the metabolites are widely distributed in the major organs. The results of this study can provide a basis for further research on the pharmacodynamic material basis, pharmacological mechanism and clinical application of nardosinone.
8.Meta-analysis of the clinical efficacy of low-concentrations atropine in controlling adolescent myopia
Zhidong JIANG ; Lian CHENG ; Yong ZHANG ; Lei LIANG ; Jinting RUAN ; Yanfei HUANG ; Liangliang LI
International Eye Science 2024;24(11):1784-1794
AIM: To systematically evaluate the efficacy and safety of low-concentrations atropine eye drops in controlling adolescent myopia.METHODS:A computer search was conducted on Wanfang Data, CNKI, VIP, PubMed, Cochrane Library, and Embase databases from January 2010 to March 2024 on clinical studies on low-concentration atropine eye drops for controlling adolescent myopia. Two researchers independently screened trials, extracted data, evaluated risk of bias and quality, and used Review Manager5.4 software to perform Meta-analysis.RESULTS:A total of 17 articles, involving 3 764 cases and 3 952 eyes, were included. The Meta-analysis showed that compared with the control group, low concentrations of atropine could effectively slow down the growth of axial length [MD=-0.15, 95% CI(-0.20, -0.10), P<0.00001], significantly controlled the changes in spherical equivalent [MD=0.39, 95% CI(0.29, 0.48), P<0.00001], and had a significant effect on pupil diameter [MD=0.80, 95% CI(0.33,1.28), P=0.0010] and amplitude of accommodation [MD=-2.54, 95%CI(-4.49, -0.60), P=0.01].CONCLUSION:Low-concentrations atropine are effective in controlling spherical equivalent and axial length of myopia in adolescents, significantly affecting pupil diameter and amplitude of accommodation, and effectively delaying the progression of myopia.
9.Nomogram Based on Conventional Ultrasound Combined with Contrast-Enhanced Ultrasound for Predicting Central Lymph Node Metastasis in Clinical Lymph Node-Negative Papillary Thyroid Carcinoma
Xiaomei ZHANG ; Qiaoli LI ; Xiaoyan GE ; Linan SHI ; Yanfei KANG ; Jun LI
Chinese Journal of Medical Imaging 2024;32(1):28-33,41
Purpose To establish a nomogram based on conventional ultrasound combined with contrast-enhanced ultrasound(CEUS)for predicting the probability of cervical central lymph node metastasis(CLNM)in clinical lymph node-negative(CN0)papillary thyroid carcinoma(PTC)patients.Materials and Methods A retrospective study was performed on 359 patients with single CN0 PTC,all of whom underwent thyroid surgery and prophylactic central compartment neck dissection in the First Affiliated Hospital of Shihezi University from September 2015 to March 2022.According to the postoperative pathological results,there were 116 cases with CLNM(+)and other 243 cases with CLNM(-).The indicators of gender,age,conventional ultrasound and CEUS were recorded,and multivariate stepwise Logistic regression was performed to screen out risk predictors to construct prediction models for CLNM in CN0 PTC.The receiver operating characteristic curves of prediction models were drawn,and the area under the curve(AUC)was further compared.The preferable prediction model was selected to establish the risk probability nomogram,and the prediction performance and clinical applicability of the nomogram model were assessed.Results Multivariate analysis showed that gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS were risk factors for CLNM in CN0 PTC(all P<0.05).The AUC of prediction model 1 including the above five indicators was 0.753,and the AUC of prediction model 2 excluding CEUS indicator was 0.704.There were statistically significant difference in AUCs between the two models(Z=2.473,P=0.013).Prediction model 1 was selected to construct a risk probability nomogram for predicting CLNM in CN0 PTC.The nomogram had a C-index of 0.753 and showed well consistency on the calibration curve.Clinical decision curve analysis indicated that the nomogram could achieve ideal net benefit when the threshold probability was between 10.7%to 81.5%.Conclusion Gender,age,the maximum diameter of nodule,capsule invasion and enhancement pattern on CEUS may be the risk predictors for CLNM in CN0 PTC.The nomogram model based on the above indicators can predict the probability of CLNM effectively,and the CEUS indicators can substantially improve the prediction performance of the model.
10.Status Analysis of Unplanned Reoperation in Cardiac Surgery Department of a Provincial Grade A Tertiary General Hospital
Mingjuan XIA ; Kun LI ; Ying LIAN ; Rucai ZHAN ; Yanfei SU ; Lingchen KONG ; Min XU
Chinese Hospital Management 2024;44(2):67-71
Objective To analyze the current situation of unplanned reoperation in cardiac surgery and to discuss the management measures of unplanned reoperation.Methods The information of patients undergoing cardiac surgery in a class A tertiary comprehensive hospital during 2018-2022 was collected to analyze the incidence of unplanned reoperation,major ca uses,disease types,surgica l moda lities and Complications.Results A tota l of 3902 patients underwent surgery,of whom 73(1.87%)underwent unplanned reoperation.The main cause of unplanned reoperation was bleeding(50%).The disease types with the highest unplanned reoperation composition ratio were coronary heart disease(38.4%),and the disease types with the highest incidence were dilated cardiomyopathy(11.1%).The average hospitalization cost,the average length of hospitalization,mortality rate and medical dispute rate of patients who had unplanned reoperation were significantly higher than those who did not have unplanned reoperation,the difference was statistically significant(P=0.001).Conclusion The hospital should strengthen the perioperative management of cardiac surgery,focus on supervising disease types and surgical modalities with high incidence of unplanned reoperation,and strictly implement the system of operation classification and the system of reporting unplanned reoperation to ensure the quality of patient surgery.


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