Objective: To understand the serum levels of thyroid stimulating hormone (TSH), free triiodothyronine (FT3), free thyroxine (FT4), triiodothyronine (T3), and thyroxine (T4) and identify the related influencing factors of thyroid dysfunction in drug users. Methods: From June to August 2018, a face-to-face questionnaire survey was conducted in 788 male drug users in a drug rehabilitation center in Jiangsu province to collect their socio-demographic information. Then, venous blood sample was collected from each participant for the detection of various hematological indicators, such as thyroid hormones. Results: The abnormal rates of T3, T4, FT3, FT4 and TSH were 4.57%, 1.27%, 0.51%, 0.38% and 0.89%, respectively, in the male drug users. HCV infection was an influencing factor for abnormal T3 level in the male drug users (OR=8.52, 95%CI: 2.36-30.74, P=0.001). And serum T3 (P<0.001) and T4 (P=0.048) levels increased with increasing HCV viral load. Conclusions HCV infection was an influencing factor for the abnormality of serum T3 level in drug users. Therefore, thyroid-related knowledge should be added in the health education for drug users, and the monitoring of thyroid function should be strengthened for drug users infected with HCV.

The construction of medical knowledge platform is a core value of the intelligent construction of electronic medical records. The hospital-wide knowledge base construction covers a wide range of content, including multiple healthcare scenarios such as medicine, testing, inspection, surgery, blood transfusion and nursing. This article introduced how Jiangsu Province People′s Hospital used knowledge graphs and rule engine to construct a hospital knowledge management platform, realize the integration of knowledge-based knowledge base and a non-knowledge-based knowledge base, and embed clinical diagnosis and treatment rules into the information system for different flexible application scenarios.Finally, a multi-dimensional knowledge base was formed to realize the unified knowledge information integration of various clinical expert knowledge, and to provide integrated display and decision support for all departments, as well as realizing real-time data verification, prompting and control in each link.