Objective: To explore the longitudinal changes and related predictive factors of anxiety and intolerance of uncertainty (IU) among Chinese college students, so as to provide theoretical reference for promoting students mental health. Methods: Intolerance of Uncertainty Scale-short Form and the 7 item Generalized Anxiety Disorder Scale were administered among 5 683 students from 22 universities in Guangdong Province from September 10 to October 17, 2021 (T1, baseline survey), and from March 15 to April 22, 2023 (T2). Using paired sample t-test to analyze the changes in anxiety and IU among college students, a linear regression model was established to explore factors that can predict anxiety, IU and their changes during T1 and T2 periods. Results: During the T1 period, the average scores of anxiety and IU among college students were (3.26±3.46, 34.88±7.96), while during the T2 period, they were (4.41±4.16, 36.40±8.07). During the T2 period, the levels of anxiety and IU among college students were higher than those during the T1 period ( t=19.59, 13.67, P <0.01). The linear regression results showed that age ( B = -0.02 ), moderate ( B =-0.18) and poor ( B =-0.88) mental health status, as well as online browsing of Corona Virus Disease 2019 (COVID-19) epidemic (later called as epidemic) related information for >1-<3 hours ( B =-0.30) and ≥3 hours ( B =-0.22), all of which could negatively predict changes in anxiety during T1 to T2 periods. Living in rural areas ( B =0.11) could positively predict changes in anxiety during T1 to T2 periods ( P <0.05). Moderate ( B =-0.19) and poor ( B =-0.47) mental health status, browsing epidemic related information online for >1-<3 hours ( B =-0.32) and ≥3 hours ( B =-0.33), academic performance being moderately affected by the epidemic ( B =-0.10), and personal planning being moderately affected by the epidemic ( B =-0.13) and severely affected ( B =-0.22), all of which could negatively predict changes in IU during T1 to T2 periods ( P <0.05). Conclusions Levels of anxiety and intolerance of uncertainty increases significantly after epidemic. Mental health status of college students should need long term monitoring, and students with poor mental health should need special attention.

To summarize the experience of Professor WANG Qingguo in diagnosing and treating wind-cold-dampness arthralgia based on the principle that "the nutrient-defense qi does not merge with wind-cold-dampness qi， so it did not result to arthralgia". By analyzing the relationship between nutrient-defense qi and wind-cold-dampness arthralgia， it is believed that the occurrence of wind-cold-dampness arthralgia is closely related to the movement of nutrient qi and defense qi， and the key to the treatment of this disease is to regulate nutrient qi and defense qi and remove the combination of nutrient-defense qi and wind-cold-dampness qi. The core pathogenesis of wind-cold-dampness arthralgia in the early stage is the initial combination of nutrient-defense qi and wind-cold-dampness qi， and the treatment should harmonize nutrient-defense qi and eliminate the pathogen and release pathogenesis， with Chaihu Guizhi Decoction （柴胡桂枝汤） as the main prescription； the core pathogenesis of the middle stage is nutrient-defense qi and wind-cold-dampness qi cemented together， and the treatment should harmonize and tonify nutrient qi and defense qi and separate the pathogen to alleviate disease， with self-prescribed Chuanteng Tongbi Decoction （穿藤通痹汤） as the main prescription； the core pathogenesis of the late stage is deficiency and stagnation of nutrient-defense qi， wind-cold-dampness qi still exist， and the treatment should tonify and free nutrient qi and defense qi to eliminate pathogen and arthralgia， with self-prescribed Chuanqing Haijia Decoction （穿青海甲汤） plus Duhuo Jisheng Decoction （独活寄生汤） as the main prescription.

【Objective】 To analyze the genetic variation characteristics and clinical phenotypes of a family with primary microcephaly (MCPH) caused by RTTN gene variation, and to provide reference for genetic counseling and prenatal diagnosis. 【Methods】 Clinical data of the three patients (including 2 fetuses and 2-year-old proband,and one fetus with clinical diagnosis) and their parents were collected and analyzed. Two of the children and their parents were tested by trio whole exome sequencing (trio-WES), sanger sequencing validation sites, and the hazard of their compound heterozygous variants was predicted. Literature review was conducted through domestic and international databases to collect reported RTTN gene mutation cases. 【Results】 Three patients in this family had anomalies of the septum pellucidum, hypoplasia of the corpus callosum and other brain malformations during fetal period. The proband (G2) and fetus (G3) showed intrauterine growth retardation and MCPH in late pregnancy; besides, G2 was born with global developmental delay. Trio-WES detected a c.2101(exon16)C>T(p.Arg701Ter,1526) nonsense and a c.2863(exon22)G>A(p.Glu955Lys)missense in the RTTN gene of G2 and G3, which were inherited from their father and mother, forming a compound heterozygous variant. According to the American College of Medical Genetics and Genomics (ACMG) variant classification guidelines, two variants were likely to be pathogenic (LP) and uncertain significance (VUS). Among them, c.2863(exon22)G>A was a newly discovered missense, which was predicted by the software to be harmful to the gene product. 【Conclusions】 Complex heterozygous variations of RTTN gene (c.2101C>T and c.2863G>A) are the genetic cause of MCPH in this family. This report has enriched the variation spectrum of RTTN gene, provided guidance for prenatal diagnosis and reproduction of this family, as well as material and reference for further understanding of the diseases caused by this gene mutation.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective:To analyze plaque characteristics of non-culprit coronary lesions with cholesterol crystals in patients with acute myocardial infarction(AMI) by using optical coherence tomography(OCT). We also investigated the potential association between cholesterol crystals with plaque rupture and healed plaque at non-culprit segment.Methods:This study was a retrospective cohort study. Between January 2017 and December 2017, patients with AMI who underwent 3-vessel OCT imaging were included in this study. Patients were divided into two groups according to the presence or absence of cholesterol crystals at the non-culprit lesions. All patients underwent coronary angiography and OCT examination, and non-culprit plaque characteristics were compared between the two groups. The generalized estimating equation log-binomial multirariate regression model was used to assess the relationship between non-culprit lesions with cholesterol crystals and plaque rupture and plaque healing. The follow-up data collection ended in October 2023. Kaplan-Meier survival curves were plotted, and log-rank tests were used to compare the cumulative incidence of major adverse cardiovascular events between the two groups.Results:A total of 173 AMI patients were included (aged (56.8±11.6) years; 124 men (71.7%)). Among 710 non-culprit lesions identified by OCT, there were 102 (14.4%) in cholesterol crystals group and 608 (85.6%) in non-cholesterol crystals group. Compared with non-culprit lesions without cholesterol crystals, those with cholesterol crystals had smaller minimum lumen diameter, severer diameter stenosis, and longer lesion length (all P<0.01). The prevalence of plaque rupture (17.6% (18/102) vs. 4.9% (30/608), P=0.001) and thin-cap fibroatheroma (31.4% (32/102) vs. 11.5% (70/608), P<0.01) was higher in the cholesterol crystals groups than in the non-cholesterol crystals group. In addition, vulnerable plaque characteristics such as (44.1% (45/102) vs. 25.8% (157/608), P<0.01), macrophages were more frequently observed in non-culprit lesions with cholesterol crystals. The generalized estimating equation log-binomial multivariate regression analyses showed that non-culprit cholesterol crystals were positively correlated with healed plaque ( OR=1.583, 95% CI: 1.004-2.495, P=0.048). Conversely, cholesterol crystals were not associated with plaque rupture ( OR=1.632, 95% CI: 0.745-3.576, P=0.221). The follow-up time was 2 142 (1 880, 2 198) days. Non-culprit cholesterol crystals were not related to the major adverse cardiovascular events in patients with AMI (log-rank P=0.558). Conclusions:Among AMI patients, non-culprit lesions with cholesterol crystals presented with severer luminal stenosis and increased plaque vulnerability. The presence of non-culprit cholesterol crystals was associated with rather than plaque rupture.

Objective To investigate the clinical value of peripheral eosinophil count(PEC)in predicting the outcome of diabetic nephropathy(DN).Methods A retrospective cohort trial was conducted on 220 DN patients identified by renal biopsy in Department of Nephrology of Second Affiliated Hospital from Army Medical University from March 2021 to March 2023.Clinical data,results of routine blood test and renal function were collected.X-tile bioinformatics software version 3.6.1 was used to determine the optimal cut-off value of PEC for predicting survival.Cox proportional hazards model and Kaplan-Meier survival analysis were applied to analyze the prognosis.Results The level of PEC in DN patients was positively correlated with the levels of serum creatinine(Scr)(r=0.245),blood urea nitrogen(BUN)(r=0.237)and blood uric acid(UA)(r=0.252),and negatively with estimated glomerular filtration rate(eGFR)(r=-0.236).According to the optimal PEC cut-off value,DN patients were divided into high-level group(＞0.29×109/L,n=41)and low-level group(≤0.29 × 109/L,n=179).The levels of Scr(P＜0.001),BUN(P=0.001)and UA(P=0.005)were significantly higher,while the eGFR(P＜0.001)was obviously lower in the high-level group than the low-level group.Multivariate Cox regression analysis showed that the high level of PEC was associated with poor prognosis of DN(HR=2.20,95％CI:1.05～4.60,P=0.036).Kaplan-Meier survival analysis demonstrated that the incidence of end-stage renal disease(ESRD)was notably higher in the high-level group than the low-level group(P=0.024).Conclusion PEC level of DN patients is closely associated with the progression and prognosis of DN,and the count is a potential biomarker for predicting the prognosis of DN.

To investigate the clinical significance of platelet-neutrophil ratio in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis(AAV),a total of 128 patients were recruited and retrospectively analyzed in our department from March 2015 to July 2023.Spearman correlation analysis indicated that there was negative correlation between the level of PNR and Birmingham vasculitis activity score(BVAS)in AAV patients(r=-0.268,P=0.002).According to the PNR optimal cutoff value(26.4)determinated by X-tile bioinformatics software version 3.6.1 for predicting the survival rate,AAV patients were divided into high level PNR(HPNR)group(≥26.4)(n=105)and low level PNR(LPNR)group(<26.4)(n=23).Kaplan-Meier survival analysis showed that the survival rate of HPNR group was significantly higher than that of LPNR group(P<0.001).The level of PNR was correlated with poor prognosis of kidney(OR=2.54,95%CI:1.1-5.88,P=0.029).In conclusion,the level of PNR is closely related to disease activity and prognosis of AAV,and it might be a potential biomarker for predicting the disease activity and predicting the prognosis.

This study established a school-supervisor-postgraduate "three-dimensional interaction" mode of academic norms and ethics education for medical postgraduates based on their training characteristics. The mode was evaluated and improved in practice. The results showed that after the implementation of the mode, graduate students significantly improved their awareness of how to standardize the implementation of experiments [(79.86% vs. 89.47%); P=0.021] and how to write formal experimental records [(84.72% vs. 92.76%); P=0.028]. In addition, there were significant increases in the pass rate of pre defense (85.42% vs. 94.08%; P=0.014) and blind review (84.03% vs. 93.42%; P=0.010). The "three-dimensional interaction" mode truly helps to achieve a win-win-win situation between postgraduate supervisors and the school, and is worth further practice and promotion.

Atherosclerosis(AS) is an important pathological feature of cardiovascular diseases such as myocardial infarction,stroke and other highly fatal diseases. Phlegm and dampness are considered to be an important pathogenesis of AS,which is difficult to heal and can cause complications. The establishment of an animal model with AS and phlegm-dampness syndrome,which could reflect the features of traditional Chinese medicine(TCM),and objective evaluation system are an important element of modern integrated TCM and western medicine research on cardiovascular diseases. It is of great significance for TCM to prevent and treat cardiovascular diseases. This article summarizes the scientific connotations of traditional Chinese and western medicine for AS and phlegm-dampness syndrome,comprehensively summarizes the current status of construction and evaluation in experimental animal model,analyzes the problems of current model,and discusses the factors of model construction and evaluation. Our aim is to establish normalized and standardized animal model with AS of phlegm-dampness syndrome.

As the final resolution for end-stage lung disease, lung transplantation can not only significantly prolong the survival, but also remarkably improve the quality of life of recipients. In recent decades, with the advancement of surgical techniques, immunosuppressants and post-transplantation management, the quantity of lung transplantation has been surged around the globe. However, the shortage of donor lung has severely restricted the development of lung transplantation. It is necessary to develop innovative approaches to expand the donor pool. The number of donors and effective preservation and functional maintenance of potential donor lungs play a key role in expanding the donor pool. The quality of donor lung is a critical precondition to ensure the long-term survival of lung transplant recipients. Preservation and functional maintenance of donor lung are of significance for guaranteeing the quality of lung allograft. In this article, research progresses on the management and maintenance of donor lung before procurement, the procurement of donor lung and the preservation and functional maintenance of lung allograft were reviewed, aiming to provide reference for the development of lung transplantation in clinical practice.