Jing Tan, Yiquan Xiong, Chunrong Liu, Peng Zhao, Pei Gao, Guowei Li, Jin Guo, Mingxi Li, Wanqiang Wei, Guanhua Yao, Yongyao Qian, Lishan Ye, Huanyang Qi, Hui Liu, Moliang Chen, Kang Zou, Lehana Thabane, Xin Sun
The DEEP cohort is the first population-based cohort of pregnant population in China that longitudinally documented drug uses throughout the pregnancy life course and adverse pregnancy outcomes. The main goal of the study aims to monitor and evaluate the safety of drug use through the pregnancy life course in the Chinese setting. The DEEP cohort is developed primarily based on the population-based data platforms in Xiamen, a municipal city of 5 million population in southeast China. Based on these data platforms, we developed a pregnancy database that documented health care services and outcomes in the maternal and other departments...
April 9, 2024: European Journal of Epidemiology