RT Journal Article SR Electronic T1 The Third China National Stroke Registry (CNSR-III) for patients with acute ischaemic stroke or transient ischaemic attack: design, rationale and baseline patient characteristics JF Stroke and Vascular Neurology JO Stroke Vasc Neurol FD BMJ Publishing Group Ltd SP 158 OP 164 DO 10.1136/svn-2019-000242 VO 4 IS 3 A1 Yongjun Wang A1 Jing Jing A1 Xia Meng A1 Yuesong Pan A1 Yilong Wang A1 Xingquan Zhao A1 Jinxi Lin A1 Wei Li A1 Yong Jiang A1 Zixiao Li A1 Xinmiao Zhang A1 Xiaomeng Yang A1 Ruijun Ji A1 Chunjuan Wang A1 Zhimin Wang A1 Xinsheng Han A1 Songdi Wu A1 Zhengchang Jia A1 Yongming Chen A1 Hao Li YR 2019 UL http://svn.bmj.com/content/4/3/158.abstract AB Background and purpose Stroke is the leading cause of mortality and disability in China. Precise aetiological classification, imaging and biological markers may predict the prognosis of stroke. The Third China National Stroke Registry (CNSR-III), a nationwide registry of ischaemic stroke or transient ischaemic attack (TIA) in China based on aetiology, imaging and biology markers, will be considered to clarify the pathogenesis and prognostic factors of ischaemic stroke.Methods Between August 2015 and March 2018, the CNSR-III recruited consecutive patients with ischaemic stroke or TIA from 201 hospitals that cover 22 provinces and four municipalities in China. Clinical data were collected prospectively using an electronic data capture system by face-to-face interviews. Patients were followed for clinical outcomes at 3 months, 6 months and 1–5 year annually. Brain imaging, including brain MRI and CT, were completed at baseline. Blood samples were collected and biomarkers were tested at baseline.Results A total of 15 166 stroke patients were enrolled, among which 31.7% patients were women with the average age of 62.2±11.3 years. Ischaemic stroke was predominant (93.3%, n=14 146) and 1020 (6.7%) TIAs were enrolled.Conclusions CNSR-III is a large scale nationwide registry in China. Data from this prospective registry may provide opportunity to evaluate imaging and biomarker prognostic determinants of stroke.