1.Association between mobile phone addiction and high myopia among college students
Jian YIN ; Zeshi LIU ; Yan LI ; Yangyang GONG ; Naichuan CHEN ; Yuqi ZHAO ; Jia SONG ; Yanping ZHANG
International Eye Science 2025;25(2):301-305
AIM:To analyze the association between mobile phone addiction and high myopia among college students.METHODS:We conducted a cross-sectional questionnaire survey in December 2022 on all students of a university in Shaanxi Province, and the questionnaire included socio-demographic characteristics, mobile phone addiction, high myopia, and lifestyle. Binary Logistic regression model was used to analyze the association between mobile phone addiction and high myopia among college students.RESULTS:A total of 19 952 college students were included. The prevalence of high myopia was 7.31%. The rate of mobile phone addiction was 25.68%, and the mobile phone addiction score was 37.59±13.38. The incidence of high myopia among college students with mobile phone addiction was higher than non-mobile phone addiction(P<0.001). After adjusting for socio-demographic characteristics and lifestyle, the risk of high myopia among college students with mobile phone addiction was 1.274 times(95%CI:1.131-1.434)higher than non-mobile phone addiction. For each point increase of total mobile phone addiction score, withdrawal symptoms score, salience score, social comfort score, and mood changes score, the risk of high myopia among college students increased by 0.9%(95%CI:1.005-1.013), 2.0%(95%CI:1.010-1.030), 2.6%(95%CI:1.010-1.043), 4.8%(95%CI:1.030-1.066), and 3.3%(95%CI:1.014-1.052), respectively.CONCLUSION:Mobile phone addiction is significantly associated with the increased risk of high myopia among college students, and early intervention of mobile phone use may reduce the risk of high myopia among college students.
2.Research on the relationship between social isolation,community elderly care service and cognitive function of the elderly
Yuqi TIAN ; Ruixin MA ; Song CHEN ; Guofang MA
China Modern Doctor 2025;63(10):34-37
Objective To explore the mediating effect of community elderly care service on the influence of social isolation on cognitive function of the elderly.Methods Based on the data of China Health and Retirement Longitudinal Study in 2018,mini mental status examination(MMSE)was used to assess the cognitive function of the elderly.Multivariate Logistic regression was used to analyze the influence of individual characteristics and social isolation on cognitive function of the elderly,and the correlation among social isolation,community elderly care service and cognitive function was analyzed through mediating effect.Results A total of 6615 elderly individuals were included,among whom 2906 cases(43.93%)had cognitive impairment.The results of multivariate Logistic regression analysis indicated that social isolation,age,gender,educational level,place of residence,marital status,activities of daily living ability,smoking,sleep duration,loneliness,community elderly care service,social interaction,and less than one contact with children per week were all influencing factors for the occurrence of cognitive impairment in the elderly(P<0.05).Community elderly care service exerted a partial mediating effect in the impact of social isolation on the cognitive function of the elderly.Conclusion Social isolation is a risk factor for cognitive impairment in the elderly,and community elderly care service is a protective factor for cognitive impairment in the elderly.It is necessary to improve the coverage and utilization rate of community elderly care service support,improve the social isolation of the elderly,and protect the cognitive function of the elderly.
3.Progress on mechanism of IL-32 in transformation process of gastric"inflammation to cancer"
Weijian ZHANG ; Yuqi WU ; Dishu ZHOU ; Shuya SONG ; Xinxin HONG ; Yifei XU ; Tiantian CAI ; Shaoju GUO ; Huafeng PAN ; Haiwen LI
Chinese Journal of Immunology 2025;41(9):2264-2271
IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.
4.Progress on mechanism of IL-32 in transformation process of gastric"inflammation to cancer"
Weijian ZHANG ; Yuqi WU ; Dishu ZHOU ; Shuya SONG ; Xinxin HONG ; Yifei XU ; Tiantian CAI ; Shaoju GUO ; Huafeng PAN ; Haiwen LI
Chinese Journal of Immunology 2025;41(9):2264-2271
IL-32 is a multifunctional cytokine with both pro-inflammatory and anti-inflammatory properties.It has been proved that expression of IL-32 increases with progression of gastric mucosal diseases and severity of gastric cancer(GC),thus participating in process of gastric"inflammation-cancer"transformation.However,how IL-32 affects malignant transformation of gastric"inflamma-tion-cancer"and finally leads to adverse outcome of GC invasion and migration is still controversial.In order to better clarify regulatory effect and possible mechanism of abnormal expression of IL-32 on different histopathological stages of gastric"inflammation-cancer"transformation,and to explore new directions and breakthroughs in molecular mechanism of early truncation and treatment of gastric precancerous lesion(GPL),we searched literatures related to IL-32 in six authoritative databases at home and abroad,such as Pubmed,Web of Science and CNKI,in past 30 years.It was found that pathogenicity or protective function of IL-32 in different histo-pathological stages of gastric"inflammation-cancer"transformation depended on its different subtypes,secretory forms,surrounding cytokine environment,disease status and genetic factors.IL-32 may regulate polarization of macrophages through NF-κB,MAPK,COX2,PR3,IDO,NOD,PKCδ,FAK and STAT3,amplify or inhibit chronic inflammatory stimulation of gastric mucosa,and thus participate in process of gastric"inflammation-cancer"transformation.Our new understanding of role of IL-32 in different stages of Cor-rea cascade may contribute to development of cytokine-directed therapy,and therapy aimed at regulating different alternative splicing subtypes of IL-32 and targeting IL-32 signals can be used as a new strategy for medical treatment of GPL and GC in future.
5.Clinical application of an artificial intelligence system in predicting benign or malignant pulmonary nodules and pathological subtypes
Zhuowen YANG ; Zhizhong ZHENG ; Bin LI ; Yiming HUI ; Mingzhi LIN ; Jiying DANG ; Suiyang LI ; Chunjiao ZHANG ; Long YANG ; Liang SI ; Tieniu SONG ; Yuqi MENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1086-1095
Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.
6.Risk factors for sarcopenia in patients with Wilson’s disease-related liver cirrhosis and their impact on clinical outcomes
Weiqi WANG ; Taohua WEI ; Nannan QIAN ; Wenming YANG ; Yulong YANG ; Yuqi SONG ; Wenjie HAO ; Yue YANG ; Hu XI ; Wei HE
Journal of Clinical Hepatology 2025;41(10):2075-2081
ObjectiveTo investigate the incidence rate of sarcopenia in patients with Wilson’s disease (WD)-related liver cirrhosis, as well as the risk factors for sarcopenia and their impact on clinical outcomes. MethodsA total of 140 patients with WD-related liver cirrhosis who were treated in The First Affiliated Hospital of Anhui University of Chinese Medicine from January 2019 to June 2020, and according to the third lumbar skeletal muscle mass index (L3 SMI), the patients were divided into sarcopenia group and non-sarcopenia group. Nutritional risk screening, anthropometric measurements, and blood biochemical tests were performed for the patients to identify the influencing factors for sarcopenia. The patients were followed up for 36 — 48 months, and survival status and complications were compared between the two groups. The independent-samples t test was used for comparison of normally distributed continuous data between two groups, and the chi-square test and the Mann-Whitney U rank sum test were used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for sarcopenia, and univariate and multivariate Cox regression analyses were used to investigate the risk factors for the prognosis of patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve was plotted, and the Log-rank test was used for comparison between groups. ResultsAmong the 140 patients with WD-related liver cirrhosis, 53 (37.9%) developed sarcopenia, with significantly lower body mass index (BMI) and L3 SMI than the patients without sarcopenia (t=10.550 and 3.982, both P<0.001). The multivariate Logistic regression analysis showed that age (odds ratio [OR]=2.243, 95% confidence interval [CI]: 1.196 — 4.208, P=0.012), sex (OR=0.450, 95%CI: 0.232 — 0.872, P=0.018), BMI (OR=0.126, 95%CI: 0.089 — 0.294, P<0.001), and hepatic encephalopathy (OR=8.367, 95%CI: 2.423 — 28.897, P<0.001) were the main influencing factors for sarcopenia in patients with WD-related liver cirrhosis. Compared with the non-sarcopenia group, the sarcopenia group had significantly higher mortality rate (χ2=6.158, P=0.019) and significantly higher incidence rates of infection (χ2=8.008, P=0.040), recurrent abdominal/pleural efflux (χ2=17.742, P<0.001), and hepatic encephalopathy (χ2=4.338, P=0.039). The multivariate Cox regression analysis showed that sarcopenia (hazard ratio [HR]=4.685, P=0.002) and hepatic encephalopathy (HR=19.156, P<0.001) were independent risk factors for death in patients with WD-related liver cirrhosis. The Kaplan-Meier survival curve analysis showed a significant reduction in survival rate in the patients with sarcopenia (P=0.003). ConclusionSarcopenia is one of the manifestations of malnutrition in patients with WD-related liver cirrhosis, which increases the risk of mortality and other complications and has an adverse effect on prognosis. There is an increased risk of sarcopenia in male patients or patients with hepatic encephalopathy, a lower level of BMI or an older age.
7.Application Value of an AI-based Imaging Feature Parameter Model for Predicting the Malignancy of Part-solid Pulmonary Nodule.
Mingzhi LIN ; Yiming HUI ; Bin LI ; Peilin ZHAO ; Zhizhong ZHENG ; Zhuowen YANG ; Zhipeng SU ; Yuqi MENG ; Tieniu SONG
Chinese Journal of Lung Cancer 2025;28(4):281-290
BACKGROUND:
Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN).
METHODS:
This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models.
RESULTS:
The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability.
CONCLUSIONS
The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans
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Male
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Female
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Lung Neoplasms/pathology*
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Middle Aged
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Retrospective Studies
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Artificial Intelligence
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Aged
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Tomography, X-Ray Computed
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Adult
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Solitary Pulmonary Nodule/diagnostic imaging*
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ROC Curve
8.Clinical observation and insights on pathological changes during "deep cervical lymphaticovenous anastomosis+" in elderly patients with cognitive impairment
Xiaoju ZHENG ; Haijun LI ; Jinming ZHANG ; Fang LI ; Baoshan WANG ; Yuqi ZHENG ; Wenbin SONG ; Yan WANG ; Xinhong WANG ; Qian LIN ; Shuang DU ; Dengwen ZHANG ; Rongguo YANG ; Peng HE ; Zhe CHANG ; Yujiao LI ; Linjuan WU
Chinese Journal of Microsurgery 2025;48(3):268-276
Objective:To investigate intraoperative pathological findings and the interventional effects of "deep cervical lymphaticovenous anastomosis+" (dcLVA+) on deep cervical lymphatic drainage as well as the blood flow of carotid artery and jugular vein in elderly patients with cognitive impairment, and to put forward the thoughts based on the findings from the surgery.Methods:Between May 2024 and December 2024, retrospective analysis of Microsurgery Hospital, Fengcheng Hospital, Xi'an Medical College performed dcLVA+ between the deep cervical lymphatics or lymph nodes and jugular veins in 50 elderly patients with cognitive impairment (19 males and 31 females, aged 55-88 years with 69.94 years in average). Nine patients were found with Clinical Dementia Rating (CDR) score at 1 (mild), 7 with CDR score at 2 (moderate) and 34 with CDR score at 3 (severe). Intraoperative observations based on literature reviews had identified anatomical relationships between the lymphatic sacs containing cervical lymphatic chain and the carotid sheath. The lymph node count, size, distribution, thickness of fat tissue and conditions of lymphatic vessels were documented. Ultrasound was used to compare the blood flow of carotid artery and jugular vein as well as the cross-sectional areas at the planes of hyoid and cricoid cartilage before and after the closure of incisions under anaesthesia in 39 patients. Correlation analyses for Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCa), Activities of Daily Living (ADL) and Agitation behavior score before and 1 week after surgery were performed using Spearman's correlation and Wilcoxon paired tests. P<0.05 was considered statistically significant. Postoperative follow-ups were conducted via the visit of outpatient clinic and WeChat and telephone interviews. Results:In surgery, the cervical lymphatic chain was found running within an almost enclosed sac surrounding the carotid sheath. There were enlarged lymph nodes, increased fat deposition, lymphatic dilation or fibrosis in the sac. The preoperative blood flow in the carotid artery at the planes of hyoid and cricoid cartilage in the 39 patients was recorded at 150.52 ml/min±40.33 ml/min and 358.29 ml/min±129.30 ml/min, while that in the jugular vein was at 172.50 ml/min±63.94 ml/min and 317.00 ml/min±105.21 ml/min, respectively, both were far lower than the normal blood flow. There were statistically significant differences in the blood flow of carotid artery and jugular vein before and after surgery ( P<0.01). It was found that the preoperative blood flow of the internal carotid artery at the plane of hyoid was positively correlated with the preoperative scores of MMSE ( P<0.01), MoCa ( P<0.05) and ADL ( P<0.01). The blood flow of the common carotid artery at the plane of cricoid cartilage was found significantly and positively correlated with the preoperative scores of MMSE ( P<0.05). It was also noted that the blood flow of the internal carotid artery at the plane of hyoid was significantly and positively correlated with the postoperative ADL ( P<0.01) but negatively correlated with the Agitation behavior score ( P<0.05). The blood flow of the common carotid artery at the plane of cricoid cartilage was significantly and positively correlated with the postoperative scores of MMSE and MoCa ( P<0.05). The blood flow of the internal jugular vein at the plane of hyoid was negatively correlated with the Agitation behavior score ( P<0.01). The cross-sectional area of carotid artery at the plane of left hyoid was significantly and positively correlated with the MMSE score ( P<0.05). Statistically significant differences were observed in MMSE, MoCa, ADL and Agitation behavior score before and after surgery ( P<0.01). Conclusion:dcLVA+ shows a certain therapeutic benefit to the elderly patients with cognitive impairment. The intraoperatively observed pathological changes in cervical lymphatic sacs affect deep cervical lymphatic drainage and the blood flow of carotid artery and jugular vein. Further studies are necessary to find out whether the findings from this study would be the specific pathological changes and the morbidity mechanisms among the elderly patients with cognitive impairment.
9.Research on the relationship between social isolation,community elderly care service and cognitive function of the elderly
Yuqi TIAN ; Ruixin MA ; Song CHEN ; Guofang MA
China Modern Doctor 2025;63(10):34-37
Objective To explore the mediating effect of community elderly care service on the influence of social isolation on cognitive function of the elderly.Methods Based on the data of China Health and Retirement Longitudinal Study in 2018,mini mental status examination(MMSE)was used to assess the cognitive function of the elderly.Multivariate Logistic regression was used to analyze the influence of individual characteristics and social isolation on cognitive function of the elderly,and the correlation among social isolation,community elderly care service and cognitive function was analyzed through mediating effect.Results A total of 6615 elderly individuals were included,among whom 2906 cases(43.93%)had cognitive impairment.The results of multivariate Logistic regression analysis indicated that social isolation,age,gender,educational level,place of residence,marital status,activities of daily living ability,smoking,sleep duration,loneliness,community elderly care service,social interaction,and less than one contact with children per week were all influencing factors for the occurrence of cognitive impairment in the elderly(P<0.05).Community elderly care service exerted a partial mediating effect in the impact of social isolation on the cognitive function of the elderly.Conclusion Social isolation is a risk factor for cognitive impairment in the elderly,and community elderly care service is a protective factor for cognitive impairment in the elderly.It is necessary to improve the coverage and utilization rate of community elderly care service support,improve the social isolation of the elderly,and protect the cognitive function of the elderly.
10.Impact of SARS-CoV-2 Infection on Sperm Quality
Longmei WU ; Yuqi ZHOU ; Guanjian LI ; Lu ZHU ; Zongliu DUAN ; Dongdong TANG ; Bing SONG ; Ying ZHU
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(4):693-699
[Objective]To investigate the presence of SARS-CoV-2 RNA in semen after COVID-19 infection in vaccinated individuals and to evaluate the impact of different recovery stages on sperm quality.[Methods]From January to March 2023,vaccinated male patients with recent SARS-CoV-2 infections confirmed by throat swabs were recruited from the Reproductive Medicine Center at the First Affiliated Hospital of Anhui Medical University.Semen samples were analyzed with RT-qPCR to detect SARS-CoV-2 RNA.A retrospective analysis assessed sperm quality across recovery stages,comparing patients within 30 days of recovery to those with 30 days or more.Semen parameters evaluated included volume,total sperm count,forward motility percentage,abnormal morphology rate,and sperm DNA fragmentation index.In addition,a longitudinal self-comparison was performed to examine changes in semen quality before and after recovery(<30 days and≥30 days).[Results]SARS-CoV-2 RNA was undetectable in the semen of all 205 patients.Neither cross-sectional comparisons nor longitudinal analyses showed significant differences in semen volume,sperm concentration,total sperm count,sperm morphology rate,sperm DNA fragmentation index,or high DNA stainability between recovery stages or compared to pre-infection values(P>0.05).However,forward motility percentage markedly decreased during recovery,with statistical significant between groups(P<0.05).[Conclusions]In vaccinated individuals who contracted COVID-19,SARS-CoV-2 was not transmitted through semen.Although the incidence of asthenozoospermia may increase within 30 days post-infection,this effect appears reversible in the short time.

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