Regional Medical Information System has been the objective of the construction of medical informatization. With HL7 and DICOM applied, this paper presents a tele-medical information-sharing platform based on PACS and HIS. Then the general scheme is put forward from such aspects as medical image storing center, copy import system for medical image data, tele-consultation center, disparate data source middle-ware transponder based on HL7 and clinical rounds system based on NC wireless network.

Objective: To explore the relationship between smoking and hyperuricemia in Chinese residents. Methods: Based on data from the China Health and Nutrition Survey (CHNS), residents with blood samples provided in the 2009 round (including information of socio-demographic factors, lifestyle behaviors, medical history, and laboratory examinations etc.) were selected as the participants in the current analysis. Unconditional logistic regression models were utilized to compute the ORs and corresponding 95%CIs for assessing the relationship between smoking and hyperuricemia. Results: Among the 8 785 subjects, 1 435 had hyperuricemia with a prevalence rate of 16.3%, consisting of 886 men and 549 women with prevalence rates of 21.6% (886/4 110) and 11.7% (549/4 675) , respectively. Compared with never smokers, the adjusted OR (95%CI) for hyperuricemia was 0.83 (0.70-0.98) among current smokers, 0.77 (0.63-0.94) among current smokers with 20-39 years of smoking, and 0.79 (0.65-0.97) among current smokers with 11-20 cigarettes per day. When stratified by gender and compared with non-smoker, the adjusted OR (95%CI) for hyperuricemia among current smokers compared with never smokers was 0.83 (0.70-0.98) among men, while no significant association was found in female current smokers (OR=0.73, 95%CI: 0.42-1.26, P=0.260). Conclusion In Chinese residents, there is an inverse association between smoking and hyperuricemia prevalence, and this association may be related to duration and intensity of smoking among current smokers. The findings need to be validated in large prospective cohort studies.

Objective: To analyze the association between the self-rated health (SRH) status and risk of cardiovascular disease (CVD) among the middle-aged and eldly Chinese. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which enrolled 21 133 participants by using the probability proportional to size (PPS) sampling from 150 counties/districts of 28 provinces in China from 2011 to 2012. A total of 11 701 participants were included in the study. Basic information and SRH were obtained in the baseline survey via questionnaires. Information of CVD was self-reported during the follow-up. Cox proportional hazards modeling was used to analyze the association between the baseline SRH and risk of CVD. Subgroup analyses were performed by age, sex and body mass index (BMI), and their interactions with SRH for risk of CVD were examined by using the likelihood ratio test. A sensitivity analysis was conducted to test the robustness of the association. Results: Participants were (57.9±9.7) years old, and men accounted for 48.1% (5 626). SRH was reported as the excellent, very good, good, fair and poor among 4.2% (n=487), 13.5% (n=1 583), 33.6% (n=3 932), 35.4% (n=4 147) and 13.3% (n=1 552), respectively. During 42 104 person-years of followed up, 590 cases of CVD were identified. Cox regression analyses showed that compared with the excellent/very good SRH, the HR (95%CI) of CVD risk for the good, fair and poor SRH was 1.36 (1.02-1.80), 1.66 (1.26-2.19) and 1.89 (1.38-2.59), respectively. Subgroup analyses showed that compared with the excellent/very good SRH, HR (95%CI) of CVD risk for poor SRH in the group of 45-59 years old, equal to or over 75 years old, men, women and normal BMI were 2.00 (1.32-3.04), 3.87 (1.04-14.46), 1.76 (1.07-2.91), 1.92 (1.27-2.91) and 2.30 (1.42-3.72), respectively. There were no interactions between age, sex, BMI and SRH (P>0.05). Conclusion SRH is associated with risk of CVD among middle-aged and elderly Chinese. The CVD risk for good, fair and poor SRH is higher than that for excellent/very good SRH.