Objective:To establish a data middle platform for data assets of medical consumables,to provide open data sharing services for the management and application development of medical consumables,and to reduce the risk of data silos.Methods:Based on the data resource management model of data middle platform,data aggregation and big data development technology were adopted to realize data loading,integration and quality control between multi-business systems.A hierarchical data management system was established through data warehousing and object modeling methods.A data assets management system was built based on the data governance process to provide functions of data standards and data lineage maintenance,metadata management,data permission control,and data lifecycle management for medical consumables data resources.A microservice architecture was adopted to provide functions such as data service generation,registration,discovery and subscription for medical consumables management.The front-end data application development workload of business data and application operation time before and after the application of data middle platform service of medical consumables were compared in the South Campus of the Fifth Medical Center of PLA General Hospital from March to May 2020.Results:The medical consumables data middle platform realized the connection between the front-end application interface and the back-end data service,and provided synchronized data services for the front-end pages.The workload of front-end data application development for data middle platform data services decreased from 64 person-months of traditional data warehouses to 6 person-months,and the operation time for testing applications reduced from 430 minutes to 16 minutes.Conclusion:The data middle platform management mode is helpful to improve the information management capabilities and efficiency of medical consumables management,and provides reference for the digital transformation of medical consumable management.

Objective To understand the association between pregnancy intention and pregnancy-related anxiety in the second and third trimester and its strength.Methods A prospective cohort study was conducted in Ma' anshan,Anhui province.A total of 3 474 eligible pregnant women within 14 weeks of gestation were recruited.The information about their demographic characteristics were collected in early pregnancy.The completed questionnaire of pregnancy-related anxiety were asked to return in the second and third trimester.Logistic regression analysis was conducted to evaluate the association between pregnancy intention and pregnancy-related anxiety in the second and third trimester.Results A total of 3 083 pregnant women were included in final analysis,The rate of unintentional pregnancy was 15.00％ (n=461).The detection rates of pregnancy-related anxiety in the second and third trimester were 29.13％ (n=898) and 30.36％ (n=936).After controlling potential confounding factors,unintentional pregnancy increased the risk of pregnancy-related anxiety in the second trimester compared with intentional pregnancy (OR=1.85,95％ CI:1.44-2.38);The risk of pregnancy-related anxiety also increased in the third trimester (OR=1.84,95％ CI:1.44-2.35).Intentional pregnancy did not increase the risk of pregnancy-related anxiety in the second and third trimester.Conclusion The study results suggests that unintentional pregnancy could increase the risk of pregnancy-related anxiety in the second and third trimester.

OBJECTIVETo evaluate the associations between pregestational body mass index (BMI), weight gain during first half of pregnancy and the risk for gestational diabetes mellitus (GDM).

METHODSA prospective cohort study was conducted among 1,914 local pregnant women, receiving the first prenatal examination during the first 14 weeks of gestation, in Ma'anshan of Anhui province from May 2013 to September 2014. The body weight and height were measured for these pregnant women and questionnaire surveys were conducted among them at enrollment, middle gestation and late gestation, respectively. During 24-28 week of gestation, 75 g oral glucose tolerance test was conducted for them. The independent and joint associations between pregestational BMI/weight gain and the risk of GDM were examined by using logistic regression model.

RESULTSThe prevalence of GDM was 14.73%. There was significant negative correlation between pregestational BMI and weight gain during the first half of pregnancy (r=-0.085, P<0.01), meanwhile the weight gain of GDM women was significantly higher than that of women without GDM. The women with pregestational overweight or obesity had increased risks of GDM. The results from the logistic regression analysis showed that the risk factors included age≥35 years (OR=3.06, 95% CI: 1.68-5.58), fasting plasma glucose level during early pregnancy (OR=2.17, 95% CI: 1.57-3.00), pregestational overweight (OR=2.08, 95% CI: 1.38-3.13), pregestational obesity (OR=3.73, 95% CI: 1.84-7.56).

CONCLUSIONPregestational overweight or obesity and body weight gain during pregnancy were associated with increased risk of GDM.

Body Mass Index ; Diabetes, Gestational ; epidemiology ; Female ; Glucose Tolerance Test ; Humans ; Obesity ; epidemiology ; Overweight ; epidemiology ; Pregnancy ; Prospective Studies ; Risk Factors ; Weight Gain