Objective To analyze the incidence of coronary myocardial bridge (MB) of the Uyghur and Han peoples with 64-slice CT. Methods A total of 1350 patients with suspected of coronary disease or other diseases underwent coronary angiography with 64-slice CT, among them 341 patients were diagnosed as MB, including 260 Han people, 70 Uyghur people, 7 Muslim people and 4 people of Kazak ethnic minority group. The incidence of MB of the Uyghur and Han people was calculated respectively; incidence of MB in proximal, middle and distal segment of left anterior descending (LAD), the first diagonal branch (D1), the second diagonal branch (D2), obtuse marginal (OM), left circumflex (LCX) and right coronary artery (RCA) between two races were compared with Chi-Square test. Results Totally 341 patients had 439 MB, 332 in Han people, 92 in Uyghur people, 9 in Muslim people and 6 in Kazak ethnic minority group with 64-slice CT. There was no statistical significance of MB incidence between the Uyghur and Han people in coronary artery (P＞0.05), including the proximal, middle and distal segment of LAD. Conclusion The 64-slice CT can effectively detect MB with a high special resolution. There is no statistical significance of MB incidence between the Uyghur and the Han people in each coronary artery.

Real world data (RWD) refers to the data generated in routine clinical practices, daily life, and real work environment and has been widely used in clinical or public health research. Still, issues related to the quality of RWD, such as incompleteness, inconsistency, and inaccuracy, would affect the validity of real-world research. To overcome the challenges due to the lack of standardization of real world source data, case report form based on clinical data interchange standards consortium (CDISC-CRF) on certain diseases was developed to promote the ecology construction of RWD based on the data standards set by the CDISC which has been widely used. Firstly, we described how to apply data standards to make up the gap between RWD and real world evidence. Then, the process was designed to build RWD ecology based on CDISC-CRF, in which the development technology of CDISC-CRF form is mainly introduced. Finally, the application prospect and significance of building real-world data based on disease-specific CDISC-CRF are described. It is believed that the present paper can provide a new idea for promoting the ecology construction of RWD in China.