1.Study on the quality standard of Polygoni Avicularis Herba and its standard decoction
Yiqun WANG ; Sihan SHEN ; Lingyu JIA ; Ran XIE ; Fangji GE ; Yu ZHAO ; Yanjun CHEN ; Qinghe ZHAO
International Journal of Traditional Chinese Medicine 2025;47(11):1581-1585
Objective:To establish a quality control method for the standard decoction of Polygoni Avicularis Herba.Methods:Totally 12 batches of decoction pieces from different origins were collected, the standard decoction was prepared and the quality evaluation method was established, the content of index components in the decoction pieces and the standard decoction was determined with HPLC, the index components, solution pH and other parameters were calculated, and the similarity analysis was carried out against the fingerprints.Results:The total content of myricetin in 12 batches of decoction pieces was >0.12%, and the content of myricetin in the standard decoction was >0.03%, which met the standard of the 2020 edition of the Chinese Pharmacopoeia. The pH value was 5.1-5.5, the transfer rate of myricetin components ranged from 50.0%-106.3%, and the fingerprint study showed that there were 7 common peaks. The similarity analysis results indicated that the standard decoction of 12 batches of decoction pieces of Polygoni Avicularis Herba had good consistency.Conclusion:The preparation process is stable and feasible in line with the traditional decoction preparation method, and can be used for the research and quality evaluation of the standard decoction.
2.Risk signal mining of adverse reactions to triazole antifungal drugs: a comparative study on domestic and foreign adverse drug reaction/event reports
Jinxia ZHAO ; Yanjun XIE ; Shen′ao JING ; Ying ZHANG ; Nannan SUN ; Xia LI ; Yi HAN
Adverse Drug Reactions Journal 2025;27(8):472-478
Objective:To detect adverse reaction risk signals of triazole antifungal agents and provide evidences for their safe use in clinic.Methods:Adverse reaction/event reports with fluconazole, itraconazole, voriconazole, posaconazole, or isavuconazonium as the primary suspect drug were collected from the data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province from January 2004 to June 2024 and the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2023. Adverse reaction/event terms were standardized using the preferred term (PT) and system organ class in Medical Dictionary for Regulatory Activities 24.0. Risk signals were detected using the reporting odds ratio (ROR) method and the Bayesian confidence propagation neural network (BCPNN) algorithm. A PT was defined as an adverse reaction risk signal if the number of reports was ≥3, the lower limit of the 95% confidence interval ( CI) for ROR was >2, and the lower limit of the 95% CI for the information component ( IC) was >0. Descriptive statistical analysis was performed. Results:A total of 3 988 reports with the above 5 antifungal drugs as the primary suspect drug were collected from data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province, 822 (20.6%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 1 852, 1 395, 703, 27, and 11 cases among the 3 988 reports, and in 591 (31.9%), 149 (10.7%), 59 (8.4%), 18 (66.7%), and 5 (5/11) serious cases among the 822 serious case reports, respectively. A total of 20 066 reports with the above 5 drugs as the primary suspect drug were collected in FAERS database, 9 635 (48.0%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 7 758, 6 180, 2 869, 1 796, and 1 463 cases among the 20 066 reports, and in 4 295 (55.4%), 2 806 (45.4%), 1 191 (41.5%), 828 (46.1%), and 515 (35.2%) serious cases among the 9 635 serious case reports, respectively. Based on the data reported by Shandong Province and in FAERS database, 18 and 207 risk signals of adverse reaction not mentioned in the labels were identified, respectively, and 5 of them were identified in both databases, including fluconazole-induced renal impairment and voriconazole-induced oliguria, delirium, psychiatric disorders, and rhabdomyolysis. In the data reported by Shandong Province and in FAERS database, 13 and 189 reports of muscle-related disorders (rhabdomyolysis, myopathy, and myositis) were identified respectively, involving voriconazole (in 8 and 62 cases), itraconazole (in 4 and 74 cases), and fluconazole (in 1 and 53 cases).Conclusions:Renal impairment induced by fluconazole and oliguria, delirium, psychiatric disorders, and rhabdomyolysis induced by voriconazole are risk signals of adverse reaction not mentioned in the labels for triazole antifungal agents. Voriconazole, itraconazole, and fluconazole may also cause muscle-related disorders, warranting vigilance in clinical practice.
3.Network analysis of the relationship between perfectionism traits and mobile phone dependence among Chinese university students.
Zhengzong LIU ; Yanjun CHEN ; Jin LIU ; Xiaotian ZHAO ; Yumeng JU ; Bangshan LIU ; Yan ZHANG ; Jiao CHENG
Journal of Central South University(Medical Sciences) 2025;50(8):1418-1427
OBJECTIVES:
Mobile phone dependence has become increasingly prominent among university students, posing significant risks to their social functioning and mental health. Previous studies suggest that perfectionistic personality traits may be key psychological predictors of mobile phone dependence, but the underlying mechanisms remain unclear. This study aims to identify core symptoms of mobile phone dependence among university students and to examine the pattern of associations between different dimensions of perfectionism and mobile phone dependence.
METHODS:
A cross-sectional questionnaire survey was conducted among 1404 university students nationwide. The Mobile Phone Involvement Questionnaire (MPIQ) and the Forst Multidimensional Perfectionism Scale (FMPS) were used to assess mobile phone use and perfectionism traits. The EBIC-GLASSO network model was constructed to analyze the network structure linking perfectionism and mobile phone dependence.
RESULTS:
A total of 56.48% of university students in the sample met the criteria for mobile phone dependence. The total FMPS score was positively correlated with the total MPIQ score (r=0.47, P<0.001). Results of multiple linear regression controlling for demographic variables showed that dimensions of FMPS score significantly predicted MPIQ score (all P<0.05). Network analysis revealed that the central dimension in perfectionism is "organization" (expected influence=2.69) and the core symptom of mobile phone dependence was "I lose track of how much I am using my smartphone" (expected influence= 0.78). Bridge centrality analysis identified "organization" as a key bridging factor linking perfectionism and mobile phone dependence (bridge strength=1.96). Among the symptom-to-symptom connections, "parental expectations" showed the strongest positive association with "arguments have arisen with others because of my mobile phone use" (partial correlation coefficient=0.15), serving as a risk factor. In contrast, "organization" was most strongly negatively associated with the same symptom (partial correlation coefficient=-0.13), serving as a protective factor, suggesting a protective effect.
CONCLUSIONS
Mobile phone dependence is common among college students and is primarily characterized by a lack of self-control in phone use. Although perfectionism is generally positively associated with mobile phone dependence, its internal dimensions appear to exert a dual effect. Specifically, "parental expectations" and "doubt over actions" may increase the risk of mobile phone dependence, whereas "organization" serves as a protective factor, particularly against interpersonal conflicts related to phone dependency.
Humans
;
Perfectionism
;
Students/psychology*
;
Cell Phone
;
Universities
;
Cross-Sectional Studies
;
Male
;
Female
;
Surveys and Questionnaires
;
China
;
Young Adult
;
Adult
;
Adolescent
;
Personality
4.Expert consensus on the application of nasal cavity filling substances in nasal surgery patients(2025, Shanghai).
Keqing ZHAO ; Shaoqing YU ; Hongquan WEI ; Chenjie YU ; Guangke WANG ; Shijie QIU ; Yanjun WANG ; Hongtao ZHEN ; Yucheng YANG ; Yurong GU ; Tao GUO ; Feng LIU ; Meiping LU ; Bin SUN ; Yanli YANG ; Yuzhu WAN ; Cuida MENG ; Yanan SUN ; Yi ZHAO ; Qun LI ; An LI ; Luo BA ; Linli TIAN ; Guodong YU ; Xin FENG ; Wen LIU ; Yongtuan LI ; Jian WU ; De HUAI ; Dongsheng GU ; Hanqiang LU ; Xinyi SHI ; Huiping YE ; Yan JIANG ; Weitian ZHANG ; Yu XU ; Zhenxiao HUANG ; Huabin LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):285-291
This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans
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Nasal Cavity/surgery*
;
Nasal Surgical Procedures
;
China
;
Consensus
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Sinusitis/surgery*
;
Dermal Fillers
5.Liquid-Liquid Phase Separation in Hereditary Hearing Loss.
Kefan TAO ; Yanjun ZONG ; Xiaozhou LIU ; Xinyu SHI ; Zhengdong ZHAO ; Yu SUN
Neuroscience Bulletin 2025;41(10):1888-1900
Hearing loss is one of the most prevalent sensory disorders affecting the human nervous system. Liquid-liquid phase separation (LLPS) is a physiological process that facilitates the reversible and dynamic assembly of biomolecular condensates. Increasing evidence suggests that LLPS plays a significant role in the pathogenesis of hereditary hearing loss. Nevertheless, there is a conspicuous lack of systematic investigations exploring the impact of LLPS abnormalities on the etiology of hereditary hearing loss. In this review, we examine the mechanisms by which dysfunctions in LLPS contribute to hereditary hearing loss, specifically focusing on its effects on mechanoelectrical transduction in hair bundles, transcriptional regulation, post-transcriptional modifications, the actin cytoskeleton, ion homeostasis within the inner ear, and energy and redox homeostasis. Furthermore, we evaluate the considerable potential of targeting LLPS as a therapeutic approach for hearing loss and propose innovative perspectives on LLPS that may guide future research initiatives in the field of auditory disorders.
Humans
;
Animals
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Hearing Loss/physiopathology*
;
Phase Separation
6.Influencing Factor Analysis and Prediction Model Construction of Immune-Related Thyroid Dysfunction Caused by Sintilimab Treatment in Solid Tumors
Yanjun CUI ; Tian MA ; Yi LIU ; Libo ZHAO ; Xinyi DU ; Ling JIAO ; Aijun CHAI ; Rongrong FAN ; Yanguo LIU ; Lin HUANG ; Xiaohong ZHANG
Herald of Medicine 2025;44(10):1556-1561
Objective To explore the influencing factors of immune-associated thyroid dysfunction caused by sintilimab treatment in solid tumors and construct a prediction model.Methods Medical records of patients diagnosed with solid tumors and treated with sintilimab at Peking University People's Hospital(Xizhimen Campus,Tongzhou Campus,Shijiazhuang Campus)from January 2023 to September 2024 were collected to explore the influencing factors that caused immune-related thyroid dysfunction using univariate and multifactorial binary logistic regression analyses and to establish a prediction model.The predictive effect of the model was assessed using the receiver operating characteristic(ROC)curve.Results A total of 120 patients were included,and 33 presented with immune-related thyroid dysfunction.Multifactorial logistic regression analysis revealed that thyroid-stimulating hormone(TSH)[OR=2.470,95%CI=(1.279,4.771)]and treatment cycles[OR=1.298,95%CI=(1.117,1.509)]were independent risk factors for the occurrence of immune-associated thyroid dysfunction,and the difference was statistically significant(P<0.05).The area under the ROC curve was(0.897±0.043)[95%CI=(0.813,0.981)],the Yoden index was 0.703,and the model prediction accuracy was 86.5%.Conclusion The risk of immune-related thyroid dysfunction caused by sintilimab is high,and TSH and treatment cycle are the influencing factors,and the constructed model has certain predictive value and is of reference significance.
7.Influencing Factor Analysis and Prediction Model Construction of Immune-Related Thyroid Dysfunction Caused by Sintilimab Treatment in Solid Tumors
Yanjun CUI ; Tian MA ; Yi LIU ; Libo ZHAO ; Xinyi DU ; Ling JIAO ; Aijun CHAI ; Rongrong FAN ; Yanguo LIU ; Lin HUANG ; Xiaohong ZHANG
Herald of Medicine 2025;44(10):1556-1561
Objective To explore the influencing factors of immune-associated thyroid dysfunction caused by sintilimab treatment in solid tumors and construct a prediction model.Methods Medical records of patients diagnosed with solid tumors and treated with sintilimab at Peking University People's Hospital(Xizhimen Campus,Tongzhou Campus,Shijiazhuang Campus)from January 2023 to September 2024 were collected to explore the influencing factors that caused immune-related thyroid dysfunction using univariate and multifactorial binary logistic regression analyses and to establish a prediction model.The predictive effect of the model was assessed using the receiver operating characteristic(ROC)curve.Results A total of 120 patients were included,and 33 presented with immune-related thyroid dysfunction.Multifactorial logistic regression analysis revealed that thyroid-stimulating hormone(TSH)[OR=2.470,95%CI=(1.279,4.771)]and treatment cycles[OR=1.298,95%CI=(1.117,1.509)]were independent risk factors for the occurrence of immune-associated thyroid dysfunction,and the difference was statistically significant(P<0.05).The area under the ROC curve was(0.897±0.043)[95%CI=(0.813,0.981)],the Yoden index was 0.703,and the model prediction accuracy was 86.5%.Conclusion The risk of immune-related thyroid dysfunction caused by sintilimab is high,and TSH and treatment cycle are the influencing factors,and the constructed model has certain predictive value and is of reference significance.
8.Construction and verification of the prediction model of pulmonary infection in patients with aneurysmal subarachnoid hemorrhage after craniotomy
Shufang SHI ; Yanjun ZHANG ; Mingxia GUO ; Jingwen CHEN ; Kexing JI ; Xiaolong CHEN ; Jing ZHAO ; Xinmin DING
Chinese Journal of Practical Nursing 2025;41(34):2685-2693
Objective:To construct and verify a risk prediction model for pulmonary infection in patients with aneurysmal subarachnoid hemorrhage (aSAH) after craniotomy and clipping, providing theoretical basis and practical guidance for improving the quality of postoperative care.Methods:Using the convenience sampling method, a retrospective selection was made of 397 patients with aSAH after craniotomy and clipping who were hospitalized in the Department of Neurosurgery of Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2019 to December 2023 as the modeling group. They were randomly divided into the training set and the test set at a ratio of 7:3, with 278 cases in the training set and 119 cases in the test set. Patients were divided into the infection group and the non-infection group based on whether they developed pulmonary infection. Univariate analysis was used to model the risk factors of pulmonary infection after aSAH craniotomy and clamping in the group, and Lasso regression was used to construct a predictive model. A total of 119 patients with aSAH admitted to the neurosurgery department of the same hospital from January to April 2024 were selected for the external validation of the model. The predictive effect of the model was evaluated through the receiver operating characteristic (ROC) curve.Results:In the modeling group, there were 216 male patients and 181 female patients. The incidence of pulmonary infection was 38.54% (153/397). Finally, five influencing factors, namely stroke, Hunt-Hess classification, mechanical ventilation, indwelling nasogastric tube and the timing of initiating enteral nutrition, were included to construct a predictive model. The areas under the ROC curves of the nomogram prediction models of this model in the training set, test set, and external validation group were 0.859(95% CI 0.791-0.928), 0.843(95% CI 0.796-0.890), and 0.800(95% CI 0.711-0.889), respectively. The calibration curve shows that the model's prediction fits well with the actual situation and has a high degree of calibration. Decision curve analysis indicates that this model has high clinical application value under different risk thresholds. Conclusions:The risk prediction model for pulmonary infection in patients after craniotomy and clipping with aSAH has good discrimination and calibration, which can provide reference for medical staff to identify high-risk patients at an early stage and take preventive intervention measures.
9.Iodine nutrition status of pregnant women in Weihai City before and after iodine deficiency disorders intervention
Shuliang LIU ; Huaqiang SUN ; Guoying ZHANG ; Zhifang WANG ; Linqing XIU ; Lingfei ZHANG ; Yanjun WU ; Min YIN ; Lei LIN ; Shuai ZHAO
Chinese Journal of Endemiology 2025;44(4):313-317
Objective:To analyze the iodine nutrition status of pregnant women in Weihai City before and after (2022, 2023) the iodine deficiency disorders (IDD) intervention, evaluate the effectiveness of intervention measures, and provide a scientific basis for adjusting IDD prevention strategies in the city.Methods:In May 2023, the intervention action of IDD was carried out for pregnent women in Weihai City. In April 2022 and December 2023, respectively, a cross-sectional survey method was conducted in four districts (cities) of Weihai City. Each district (city) was divided into five areas (east, west, south, north, and central) each year, and one township (street) was selected from each areas. At least 20 pregnant women were selected from each township (street) as survey subjects, and their household salt samples and random urine samples were collected to measure salt iodine and urinary iodine concentrations, and to compare the test results.Results:A total of 922 household salt samples were tested, including 530 iodized salt samples and 469 qualified iodized salt samples. The median salt iodine was 24.00 mg/kg. The coverage rate of iodized salt, the qualified rate of iodized salt, and the consumption rate of qualified iodized salt were 57.48%, 88.49%, and 50.87%, respectively. No significant difference was observed in medians salt iodine between 2022 (24.26 mg/kg) and 2023 (24.00 mg/kg, Z = - 1.58, P = 0.113). However, the coverage rate of iodized salt and the consumption rate of qualified iodized salt in 2023 werehigher than those in 2022 [73.72% (373/506) vs 37.74% (157/416), 65.22% (330/506) vs 33.41% (139/416), χ 2 = 120.90, 92.40, P < 0.001]. A total of 922 urine samples were collected from pregnant women, with a median urinary iodine of 135.90 μg/L. The median urinary iodine of pregnant women in 2022 was 113.55 μg/L. There was a statistically significant difference in medians urinary iodine among different regions ( H = 27.91, P < 0.001). The median urinary iodine of pregnant women in 2023 was 153.00 μg/L. There was no statistically significant difference in medians urinary iodine among different regions ( H = 3.33, P = 0.343). The medians urinary iodine of pregnant women in Huancui District, Wendeng District, and Rushan City in 2023 (156.60, 155.00, 140.85 μg/L) were higher than those in 2022 (93.60, 110.00, 110.70 μg/L), and the differences were statistically significant ( Z = - 5.44, - 4.92, - 5.99, P < 0.001). The median urinary iodine of pregnant women in Weihai City in 2023 showed a statistically significant difference compared to 2022 ( Z = - 7.62, P < 0.001). Conclusions:The IDD intervention measures in Weihai City have achieved good results, and the coverage of iodized salt, the consumption rate of qualified iodized salt, and the iodine nutrition level of pregnant women have improved. We should continue to implement intervention measures, improve the iodine nutrition level of key populations, and maintain a sustained elimination of IDD.
10.Mediating effect of attitudes to aging between intergenerational support and health behavior in elderly stroke patients
Li WANG ; Yanjun GUO ; Ai ZHAO ; Yue ZHAI ; Xiaoxiao XU
Chinese Journal of Modern Nursing 2025;31(32):4458-4463
Objective:To explore the mediating effect of attitudes to aging between intergenerational support and health behavior in elderly stroke patients.Methods:From March 2023 to February 2024, elderly stroke patients hospitalized in the Department of Neurology at Beijing Tongren Hospital, Capital Medical University, were selected as study subjects using convenience sampling. The survey was conducted using the General Information Questionnaire, Attitudes to Ageing Questionnaire (AAQ), Intergenerational Support Scale (ISS), and Stroke Health Behavior Questionnaire (SHBQ). Pearson correlation was employed to analyze the relationships among attitudes to aging, intergenerational support, and health behavior. AMOS 21.0 software was used to construct the structural equation model and verify the mediating effect.Results:A total of 250 questionnaires were distributed, and 243 valid questionnaires were collected, with a valid response rate of 97.20%. The AAQ, ISS, and SHBQ scores of 243 elderly stroke patients were (70.57±9.03), (19.74±3.65), and (71.67±5.50), respectively. Attitudes to aging were positively correlated with both intergenerational support and health behavior ( P<0.05), and intergenerational support was positively correlated with health behavior ( P<0.05). Intergenerational support had a direct positive effect on health behavior (β=0.552), and attitudes to aging had a direct positive effect on health behavior (β=0.632). Attitudes to aging partially mediated the relationship between intergenerational support and health behavior, accounting for 38.12% (0.340/0.892) of the total effect. Conclusions:Attitudes to aging partially mediates the relationship between intergenerational support and health behavior. Improving intergenerational support may foster positive attitudes to aging, thereby promoting the development of healthy behavior among elderly stroke patients.

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