Polymorphisms in genes related to inflammation and endothelial function in the high-risk stroke population

Aim: To investigate incidence of ischemic stroke and other vascular events during a 4.7-year follow-up in the high-risk stroke population, and to identify the associations of the 19 single nucleotide polymorphisms (SNPs) in genes related to inflammation and endothelial function and interaction among these SNPs with outcomes.  
Methods: According to the China National Stroke Screening Survey programme, we performed this multi-center community-based sectional survey and prospective cohort study in the Sichuan of southwestern China from May 2015 to January 2020. Eight communities were randomly selected in Sichuan, and the residents in each community volunteered to participate in a face-to-face survey. The 19 SNPs in genes related to endothelial function and inflammation were measured in the high-risk stroke population. All subjects in high-risk stroke populations were followed-up for 4.7 years after the face-to-face survey. The primary outcome was a new ischemic stroke; the secondary outco..., Study design and participants
 According to the CNSSS programme, we performed this multi-center community-based cross-sectional survey and prospective cohort study in Sichuan of southwestern China from May 2015 to January 2020. The survey protocol was reviewed and approved by the Ethics Committee of participating hospitals and informed consent (in the Chinese language) was obtained from all participants before enrollment. The community-based cross-sectional survey was conducted in 8 communities of Sichuan between May 2015 and September 2015. The detailed procedures for recruitment of participants and evaluation of risk factors were described in our previous articles. In brief, the 8 communities were selected using cluster randomization method in Sichuan. The residents aged ≥ 40 years in each community were screened using a structured face-to-face questionnaire by interviewers. The questionnaire included demographic characteristics, behavioural factors, history of chronic diseases, per..., Excel