Objective: To understand the relationship between eye strain and eye health behavior in college students learning at home during the period of COVID-19 epidemic, and to provide a scientific reference for improving the hygiene of using eyes among the college students. Methods: A cross sectional study and stratified cluster sampling was used to select 2 671 college students from 8 colleges in Anhui Province during the March 1st to July 1st in 2020, and an online questionnaire was survey included general information,eye strain,and daily eye health behavior. Results: The prevalence of eye strain in college students was 69.64%. Multivariable Logistic regression analysis showed that eye strain was correlated with gender, myopia, siesta habit, staying up until 2:00 am, and the use of eye liquid, with OR values(95% CI ) were 0.64(0.53-0.76), 1.77(1.42- 2.20 ),0.71(0.59-0.86), 1.39(1.17-1.65), and 2.18(1.71-2.79), respectively. There was no correlation among daily outdoor activity time, daytime reading time and the occurrence of eye strain( P >0.05). Conclusion During the period of COVID-19 epidemic, eye strain among college students is common. The daily eye health behavior is related to the occurrence of eye strain. Under the special learning context, eye care measures should be encouraged specifically.

Objective:Exploring gene-age interactions associated with breast cancer prognosis based on epigenomic data.Methods:Differential expression analysis of DNA methylation was conducted using multiple independent epigenomic datasets of breast cancer from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The false discovery rate (FDR) method was used for multiple corrections, retaining differentially methylated sites with q-FDR≤0.05. A three-stage analytic strategy was implemented, using a multivariable Cox proportional hazards regression model to examine gene-age interactions. In the discovery phase, signals with q-FDR ≤ 0.05 were screened out using TCGA-BRCA database. In validation phaseⅠ, the interaction was validated using GSE72245 data, with criteria of P≤0.05 and consistent effect direction. In validation phaseⅡ, the signals were further validated using GSE37754 and GSE75067 data. A prognostic prediction model was constructed by incorporating clinical indicators and interaction signals. Results:The three-stage analytic strategy identified a methylation site (cg16126280 EBF1), which interacted with age to jointly affect the overall survival time of patients (interaction HR= 1.001 1,95% CI:1.000 7-1.001 5, P<0.001). Stratified analysis by age showed that the effect of hypermethylation of cg16126280 EBF1 was completely opposite in younger patients ( HR=0.550 5, 95% CI: 0.383 8-0.789 6, P=0.001) and older patients ( HR=2.166 5, 95% CI: 1.285 2-3.652 2, P=0.004). Conclusions:The DNA methylation site cg16126280 EBF1 exhibits an interaction with age, jointly influencing the prognosis of breast cancer in a complex association pattern. This finding contributes new population-based evidence for the development of age-specific targeted drugs.

Based on the Delphi method, combined with the results of the previous literature study and expert interviews, 3 rounds of expert consultation were conducted to evaluate the degree of concentration of expert opinions and their importance from 3 aspects: arithmetic mean, full score ratio ( Ki), and rank sum ( Si), to construct a diagnostic scale for rheumatoid arthritis (RA) cold-dampness syndrome. In this study, 30 expert questionnaires were distributed in the 1st round, 30 questionnaires were recovered, and the expert coordination coefficient was 0.309; 30 expert questionnaires were distributed in the 2nd round, 30 questionnaires were recovered, and the expert coordination coefficient was 0.320; and 30 expert questionnaires were distributed in the 3rd round, 29 questionnaires were recovered, and the expert coordination coefficient was 0.387. The maximum value of the coefficient of variation of the experts of the 3 rounds was 0.27, and the minimum value was 0.09, suggesting that the consistency and credibility of the experts' evaluation of the importance of the entries of cold-dampness syndrome were high. In this study, the mean values and weights of 17 entries were finally obtained, of which the top 5 entries were cold pain in joints (4.793, 0.066 6); aggravated by cold (4.586, 0.063 7); white tongue coating (4.552, 0.063 2); aggravated in cloudy and rainy days (4.448, 0.061 8); and painful joints that are not warm to the touch (4.379, 0.060 8). This study completed the screening of relevant entries and conducted preliminary discussions, laying the foundation for constructing a diagnostic scale for RA cold-dampness syndrome and forming the final diagnostic criteria. The research method is scientific and reliable, which can provide reference for the diagnostic standard of RA cold-dampness syndrome, but further clinical practice research is still needed.

Objective:To investigate the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with maintenance hemodialysis (MHD) in Jiangsu province during SARS-CoV-2 pandemic in China from December 7, 2022 to January 27, 2023, and to analyze the influencing factors of all-cause death.Methods:It was a multi-center cross-sectional investigation. Structured questionnaire was used to collect patient information by medical staff of each hemodialysis center (room) as investigators. Part of the demography data and laboratory examination data came from the Jiangsu Province Hemodialysis Data Information System. MHD patients from hemodialysis centers (rooms) at all levels of medical institutions and independent hemodialysis institutions in Jiangsu province during the outbreak of SARS-CoV-2 infection were included, and the clinical characteristics and all-cause mortality of confirmed and suspected cases of SARS-CoV-2 infection were analyzed.Results:Questionnaire surveys and data analysis on 57 278 patients in 407 hemodialysis centers (rooms) were completed, accounting for 90.41% of the total number of MHD patients (63 357 cases) in Jiangsu province during the same period. There were 24 038 cases (41.97%) of SARS-CoV-2 infection and 14 805 cases (25.85%) of suspected infection, which were widely distributed in all dialysis centers in Jiangsu province. After clinical classification of 38 843 confirmed and suspected SARS-CoV-2 infection cases, 3 662 cases were severe and critical cases, accounting for 9.43% of the infected and suspected cases. Among the patients who had completed the questionnaires, there were 1 812 all-cause deaths, with an all-cause mortality rate of 3.16%. Multivariate logistic regression analysis showed that elderly (taking ≤50 years as a reference, 51-59 years: OR=1.583, 95% CI 1.279-1.933, P=0.001; 60-69 years: OR=3.972, 95% CI 3.271-4.858, P<0.001; 70-79 years: OR=7.236, 95% CI 5.917-8.698, P<0.001; ≥80 years: OR=11.738, 95% CI 9.459-14.663, P<0.001), male ( OR=1.371, 95% CI 1.229-1.529, P<0.001), and co-infection with hepatitis B virus (HBV) (positive serum HBV surface antigen, OR=0.629, 95% CI 0.484-0.817, P<0.001) were independent influencing factors for all cause mortality. Receiver-operating characteristic curve analysis showed that the area under the curve for male, age and current HBV infection prediction of all-cause death was 0.529 ( P<0.001), 0.724 ( P<0.001) and 0.514 ( P=0.042), respectively, and the cut-off value for age prediction of all-cause death was 65.5 years old. Compared with patients without HBV infection, MHD patients with HBV infection significantly reduced the proportion of severe and critically ill patients, all-cause hospitalizations and all cause deaths when infected with SARS-CoV-2 (4.99% vs. 6.41%, χ2=6.136, P=0.013; 8.90% vs. 11.44%, χ2=11.662, P<0.001; 2.01% vs. 3.37%, χ2=10.713, P=0.001, respectively). Conclusion:The MHD patients in Jiangsu province are susceptible to SARS-CoV-2. Elderly age and male gender are independent risk factors for death in MHD patients during the epidemic, while the HBV infection may be a protective factor for death of MHD patients infected with SARS-CoV-2.