1.Safety evaluation of 13-valent pneumococcal polysaccharide conjugate vaccine (tetanus toxoid/diphtheria toxoid) in Tianjin
Guoping ZHANG ; Shuo WANG ; Yongcheng LI ; Baihui GUO ; Di ZHU ; Xiaoyan LUO
Journal of Public Health and Preventive Medicine 2026;37(2):17-21
Objective To evaluate the safety of the 13-valent pneumococcal polysaccharide conjugate vaccine (tetanus toxoid/diphtheria toxoid) (PCV13-TT/DT) among age-eligible children in Tianjin through a combination of active and passive surveillance methods. Methods From July 15, 2023, to August 31, 2024, active surveillance for adverse events following immunization (AEFI) was conducted among recipients of PCV13-TT/DT at 18 selected vaccination clinics in Tianjin. Recipients were monitored through on-site observation or telephone follow-up within 30 minutes after vaccination and on days 1, 3, 7, and 28. Passive surveillance for AEFI was conducted among recipients of PCV13-TT/DT at other vaccination clinics across the city. The incidence of AEFI was analyzed using descriptive epidemiological methods. Results A total of 24 916 recipients of PCV13-TT/DT were observed, with 440 AEFI cases reported, resulting in an overall incidence rate of 176.59 per 10 000. The incidence rate of AEFI in active surveillance was 813.79 per 10 000, significantly higher than that in passive surveillance (20.49 per 10 000; P< 0.001). The incidence rates of general reactions, abnormal reactions, and coincidental cases in active surveillance were 744.44 per 10 000, 8.16 per 10 000, and 61.19 per 10 000, respectively, all of which were higher than those in passive surveillance (18.49 per 10 000, 0.50 per 10 000, and 1.50 per 10 000), with P values < 0.05. General reactions were mainly characterized by fever, local redness, and local induration. Abnormal reactions included angioedema and allergic rash. Coincidental cases were mainly infections. No severe adverse reactions occurred. Conclusion The large-scale vaccination of PCV13-TT/DT after its launch has good safety, and continuous strengthening of vaccine safety monitoring is needed.
2.Research progress on the prevention and treatment of drug-induced myocardial injury related to anti-tumor therapy with Chinese traditional medicine
Yanan GU ; Guoping LI ; Wei ZHANG ; Dingfang CAI ; Xiaolin WANG
Chinese Journal of Clinical Medicine 2026;33(2):330-338
With the widespread application of chemotherapy, immunotherapy, and targeted therapy, cardiotoxicity associated with anti-tumor treatment has gained increasing attention. Drug-induced cardiac injury can significantly impact patients’ quality of life and may even limit the overall efficacy of anti-tumor therapy. The underlying mechanisms include oxidative stress, inflammatory responses, mitochondrial dysfunction, apoptosis, and immune dysregulation. Owing to multitarget effects, low toxicity, and holistic regulatory properties, Chinese traditional medicines have demonstrated considerable potential in cardioprotection. This review summarizes the principal mechanisms of drug-induced myocardial injury related to anti-tumor therapy and highlights recent advances in the prevention and treatment of cardiotoxicity using Chinese medical formulae, such as compound danshen dripping pills, nuanxinkang, qili qiangxin capsules, and shengmai powder, as well as their bioactive constituents. The cardioprotective effects of these agents are discussed in terms of their antioxidative, anti-inflammatory, immunomodulatory, and mitochondrial-protective actions. Furthermore, it highlights certain traditional medicines that exhibit unique advantages in synergistic cardioprotective and anti-tumor therapy. Future efforts should focus on well-designed, systematic clinical studies to facilitate the translational application of integrated Chinese and Western medicine in cardio-oncology.
3.The impact of adolescent mental health status on smartphone addiction and the construction of a predictive model
Zhiyuan LI ; Junlin WU ; Shuhan HE ; Menghan HAO ; Yujia WENG ; Congwen YANG ; Qianmei LONG ; Guoping HUANG
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(3):252-258
Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.
4.Validity and reliability of the Simplified Chinese version of the Beck Cognitive Insight Scale
Menghan HAO ; Zhiyuan LI ; Yujia WENG ; Jie GAO ; Yiyu TANG ; Guoping HUANG
Chinese Mental Health Journal 2025;39(4):315-320
Objective:To evaluate the validity and reliability of the Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS).Methods:Totally 188 patients with schizophrenia meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)diagnostic criteria were selected for SC-BCIS and the Insight and Treatment Attitudes Questionnaire(ITAQ)assessment.Thirty-eight patients were selected for retest-ing within 4 weeks.The item analysis was conducted using the Spearman correlation method,and the reliability of the scale was tested with Cronbach's α coefficient and ICC coefficient.The structural validity of the scale was ex-amined through principal component analysis and exploratory factor analysis.Results:The correlation coefficients between the 15 item scores and the total score of the SC-BCIS all met the screening criteria.The Cronbach's α coef-ficient of the scale was 0.69,the test-retest ICC value was 0.82,the ICC coefficient between the SC-BCIS and ITAQ scales was 0.83,and the scale had a two-factor structure,with a cumulative contribution rate of 42.4%for the two factors.Conclusion:The Simplified Chinese version of the Beck Cognitive Insight Scale(SC-BCIS)has good validity and reliability in measuring cognitive insight in patients with schizophrenia.
5.Antimicrobial resistance surveillance in the bacterial strains isolated from pediatric intensive care units in China:results from 2020 to 2022
Jing LIU ; Huiyuan YAN ; Gangfeng YAN ; Guoping LU ; Pan FU ; Chuanqing WANG ; Danqun JIN ; Wenjia TONG ; Chenyu ZHANG ; Jianli CHEN ; Yi LIN ; Jia LEI ; Yibing CHENG ; Qunqun ZHANG ; Kaijie GAO ; Yuanyuan CHEN ; Shufang XIAO ; Juan HE ; Li JIANG ; Huimin XU ; Yuxia LI ; Hanghai DING ; Hehe CHEN ; Yao ZHENG ; Qunying CHEN ; Ying WANG ; Hong REN ; Chenmei ZHANG ; Zhenjie CHEN ; Mingming ZHOU ; Yucai ZHANG ; Yiping ZHOU ; Zhenjiang BAI ; Saihu HUANG ; Lili HUANG ; Weiguo YANG ; Weike MA ; Qing MENG ; Pengwei ZHU ; Yong LI ; Yan XU ; Yi WANG ; Yanqiang DU ; Huijun CAI ; Bizhen ZHU ; Huixuan SHI ; Shaoxian HONG ; Yukun HUANG ; Meilian HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):303-311
Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2%)and gram-negative organisms(60.8%).The top three organisms were S.aureus(13.6%,1 453/10 688),A.baumannii(10.0%,1 067/10 688),and coagulase-negative Staphylococcus(9.9%,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1%,19.4%,8.8%,30.9%,67.4%,and 28.8%,respectively.Overall,more than 50%of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25%of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80%of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3%in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.
6.The application of target-oriented management of regional cerebral oxygen saturation monitoring in gastrointestinal surgery of elderly patients with fragile brain function
Chinese Journal of Postgraduates of Medicine 2025;48(4):331-335
Objective:To explore the effect of target-oriented management of regional cerebral oxygen saturation (rScO 2) monitoring on gastrointestinal surgery in elderly patients with fragile brain function. Methods:A total of 60 elderly patients with fragile brain functional surgery admitted to Changzhi People′s Hospital from January 2022 to December 2022 were divided into the study group and the conventional group by the random number table method, each group with 30 cases, rScO 2 monitoring target-oriented management and conventional anesthesia monitoring management were given respectively during the operation. The levels of mean arterial pressure (MAP), blood gas analysis and cerebral oxygen metabolism indexes were compared between the two groups at different time points. Postoperative recovery related indexes and the incidence of postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) were recorded and compared between the two groups. Results:The level of MAP at 30 min after anesthesia in the study group was significantly higher than that in the conventional group: (90.50 ± 6.03) mmHg vs. (82.05 ± 6.10) mmHg, 1 mmHg = 0.133 kPa, there was statistical difference ( P<0.05). The levels of blood lactic acid (Lac) and blood glucose (GLU) at 60 min and immediately after surgery in the study group were lower than those in the conventional group: (1.45 ± 0.48) mmol/L vs. (1.90 ± 0.51) mmol/L, (1.34 ± 0.42) mmol/L vs. (1.65 ± 0.46) mmol/L; (7.17 ± 0.90) mmol/L vs. (7.62 ± 0.76) mmol/L, (6.70 ± 0.87) mmol/L vs. (7.11 ± 0.67) mmol/L, there were statistical differences ( P<0.05). The jugular veinoxygen content (CjvO 2) at 60 min after operation in the study group was higher than that in the conventional group: (98.16 ± 20.34) ml/L vs. (85.32 ± 18.54) ml/L; cerebral extraction rate of oxygen (CERO 2) and the internal jugular veno-arterial blood lactic acid difference (Djv-aLac) were lower than those in the conventional group: (33.00 ± 7.86)% vs. (40.52 ± 9.05)%, (0.15 ± 0.05) mmol/L vs. (0.21 ± 0.07) mmol/L, there were statistical differences ( P<0.05). The recovery time, tracheal extubation time and hospital stay in the study group were lower than those in the conventional group: (12.25 ± 2.00) min vs. (15.00 ± 3.14) min, (14.00 ± 2.34) min vs. (20.12 ± 4.37) min, (9.00 ± 1.13) d vs. (9.65 ± 1.25) d, there were statistical differences ( P<0.05). The POD incidence in the study group was lower than that in the conventional group: 6.67%(2/30) vs. 26.67%(8/30), there was statistical difference ( χ2 = 4.32, P<0.05). The incidence of POCD within 1 week after surgery had no statistical difference between the two groups ( P>0.05). Conclusions:rScO 2 monitoring and target-oriented management can better maintain the stability of hemodynamics and cerebral oxygen metabolism in elderly patients with fragile brain function, and can improve blood gas analysis index, reduce the occurrence of postoperative POD and other cognitive abnormalities, which is beneficial to their postoperative outcome.
7.Study of neuroprotective effect of nicotinamide riboside on EAE mice
Guoping XI ; Guobin SONG ; Yanhua LI ; Tao MENG ; Jiwei WANG ; Qin SU ; Siwei JIA ; Yi GUO ; Qing WANG ; Cungen MA
Chinese Journal of Immunology 2025;41(9):2049-2054
Objective:To investigate the neuroprotective effect of nicotinamide riboside(NR)on experimental autoimmune en-cephalomyelitis(EAE)mice.Methods:C57BL/6 female mice were induced by myelin oligodendrocyte glycoprotein(MOG35-55)to pro-duce EAE model and were randomly divided into EAE group and NR group.From day 3 to day 27 after immunization,each mouse in EAE group was given normal saline(200 μl/d)and each mouse in NR group was given NR(500 mg/kg,200 μl/d)by intragastric administration.Clinical score and body weight of mice in EAE group and NR group were recorded every day.On the 28th day after immunization,the spinal cord protein of mice in each group was extracted and the frozen sections of spinal cord of mice in each group were prepared.LFB staining was used to detect demyelination,immunofluorescence staining was used to detect the expression of MAP-2 and the number of positive cells of NeuN,BDNF,GDNF,NGF and NT-3,and Western blot was used to detect the expressions of BDNF,GDNF,NGF and NT-3 of spinal cord.Results:Compared with EAE group,NR significantly delayed the onset time of EAE mice(P<0.05),decreased clinical score(P<0.05),reduced weight loss,alleviated spinal cord demyelination(P<0.05),increased the expression of MAP-2(P<0.01)and the number of NeuN positive cells(P<0.01),and up-regulated the expressions of BDNF,GDNF,NGF and NT-3(P<0.05).Conclusion:NR shows a good neuroprotective effect on EAE mice.The mechanism may be related to NR significantly increasing the expression of spinal neurotrophic factors,improving the microenvironment of the central nervous sys-tem,nourishing nerves,promoting nerve repair and nerve growth,etc.
8.Experimental Evaluation of the Clinical Laboratory ELISA Assay Using A Randomization Quality Control Method for Indoor Quality Control
Zhijun GAO ; Jianjun LI ; Yin CAI ; Yana REN ; Mengchen XIE ; Lan ZHENG ; Guoping ZHOU
Journal of Modern Laboratory Medicine 2025;40(3):199-202
Objective To evaluate the application of ELISA randomized quality control,and continuously improve the laboratory testing capacity and quality assurance,in order to gradually improve the application of randomized quality control to the daily testing of ELISA.Methods Collected the quality control data of KEHUA HBsAg,compared the difference between randomized quality control data and immobilized quality control data.Group comparison of randomization quality control between rows and columns.The randomized quality control data were analyzed retrospectively and the quality control chart was established by using the randomized quality control data.Analyzed and compared the lost-control situation of randomized quality control and immobilized quality control.Results Randomized quality control S/CO value(2.831±0.343)and immobilized quality control S/CO value(2.651±0.260)in the same microplate,the difference between two was statistically significant(t=5.970,P<0.05).The differences between randomized quality control and immobilized quality control in columns 2 to 8 were statistically significant(t=2.285~5.536,all P<0.05).There were no statistically significant differences between randomized quality control and immobilized quality control in column 9 to 12(t=0.031~1.605,all P>0.05).There was no statistically significant difference in randomization quality control among all lines(F=0.858,P>0.05).The randomized quality control data was used to establish a quality control chart.Within the time range of the collected data,the randomized quality control was out of control for 6 times,all were greater than+3s,and the loss of control rate was 4.72%(6/127).Fixed position quality control lost control 9 times during the same period,all of which were greater than+3s,with a loss of control rate of 0.61%(9/1 481).Conclusion The randomized quality control has a greater possibility to reflect the factors affecting all the samples on the microporous plate.Random quality control can be used to find possible systematic errors in testing.Randomized quality control can gradually be fully applied to daily indoor quality control,but the loss of control rate and coefficient of variation may increase.
9.Interpretation of the Chinese expert consensus on allergen component resolved diagnosis
Junyi WANG ; Wenting LUO ; Baoqing SUN ; Guoping LI
Chinese Journal of Preventive Medicine 2025;59(9):1390-1406
In recent years, the continuous rise in the prevalence of allergic diseases has posed a significant threat to public health in China. With advancements in molecular biology technologies, allergen component resolved diagnosis (CRD) has gradually become an essential tool for precise diagnosis and personalized treatment. The Allergy Prevention and Control Specialty Committee of the Chinese Preventive Medicine Association, in collaboration with multidisciplinary experts, has developed the Expert Consensus on Allergen Component Resolved Diagnosis in China. This article provides an in-depth interpretation of the expert consensus, aiming to assist clinicians and researchers in better understanding and utilizing CRD in the diagnosis and management of allergic diseases. It seeks to promote the standardized application and technological advancement of CRD in China, thereby enhancing the diagnosis and treatment of allergic diseases.
10.The impact of adolescent mental health status on smartphone addiction and the construction of a predictive model
Zhiyuan LI ; Junlin WU ; Shuhan HE ; Menghan HAO ; Yujia WENG ; Congwen YANG ; Qianmei LONG ; Guoping HUANG
Chinese Journal of Behavioral Medicine and Brain Science 2025;34(3):252-258
Objective:To explore the impact of adolescent mental health status on smartphone addiction, and construct a predictive model for smartphone addiction based on the eXtreme Gradient Boosting(XGBoost) algorithm and multivariate Logistic regression.Methods:In April 2023, a cross-sectional survey was conducted among 14 666 adolescents.All participants were systematically evaluated using a self-developed general information questionnaire, the middle school student mental health scale(MSSMHS), the adolescents self-harm scale(ASHS), the interaction anxiousness scale(IAS), the mobile phone addiction index(MPAI), the middle school students shame scale(MSSS), the UCLA loneliness scale(UCLA-LS), the multidimensional peer victimization scale(MPVS), and the basic psychological needs scale(BPNS).R software version 4.3.2 was used for data analysis. Participants were randomly divided into training set and validation set at the ratio of 7∶3.The XGBoost model and multivariate logistic regression model were constructed to predict the risk of smartphone addiction, and a nomogram was plotted.Model performance was evaluated using the Hosmer-Lemeshow test, area under the curve(AUC), and accuracy(ACC).Results:(1) A total of 14 036 high school students were included in the study, with 5 069(36.1%) exhibited smartphone addiction.The training set comprised 9 826 students, with 3 549(36.1%) being smartphone addicts.The validation set included 4 210 students, with 1 520(36.1%) being smartphone addicts.(2) The XGBoost model identified shame-proneness and social anxiety as the two main predictors of smartphone addiction.(3) Multivariate Logistic regression analysis revealed that anxiety( B=0.328, OR(95% CI)=1.39(1.07-1.81), P=0.015), interpersonal sensitivity( B=0.311, OR(95% CI)=1.36(1.05-1.77), P=0.018), learning pressure( B=0.606, OR(95% CI)=1.83(1.46-2.31), P<0.001), mood swings( B=0.775, OR(95% CI)=2.17(1.70-2.78), P<0.001), social anxiety( B=0.024, OR(95% CI)=1.02(1.01-1.04), P<0.001), shame-proneness( B=0.049, OR(95% CI)=1.05(1.04-1.06), P<0.001), and peer victimization( B=0.037, OR(95% CI)=1.04(1.02-1.06), P<0.001) were significant predictors of smartphone addiction.(4) The ACC and AUC values of the XGBoost model were 0.890 and 0.929 in the training set, and 0.865 and 0.864 in the validation set, respectively.The multivariate Logistic regression model achieved ACC and AUC values of 0.870 and 0.854 in the training set, and 0.867 and 0.859 in the validation set, respectively. Conclusion:Anxiety, interpersonal sensitivity, learning pressure, mood swings, social anxiety, shame-proneness, and peer victimization are identified risk predictors of smartphone addiction in high school adolescents.


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