title: Association of glomerular filtration rate with outcomes of acute stroke in type 2 diabetic patients: results from the China National Stroke Registry.
abstract: OBJECTIVE We aim to explore whether a link exists between different levels of estimated glomerular filtration rate (eGFR) and poor outcomes of acute stroke in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS Between 2007 and 2009, 6,261 patients with cerebrovascular events and diabetes were included in the final analysis from the China National Stroke Registry (CNSR) and substudy of CNSR (Abnormal Glucose Regulation in Patients with Acute Stroke Across China [ACROSS]).The period of follow-up was 1 year after stroke onset. eGFR was calculated with the Chinese modification of Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. The association between eGFR and poor stroke outcomes, including all-cause death, recurrent stroke, combined end point (stroke or death), and stroke disability, was evaluated by multivariate analysis with the adjustment for demographic and clinical features. RESULTS Of 4,836 patients with stroke, low eGFR (<45 mL/min/1.73 m(2)) occurred in 268 (5.5%) and high eGFR (≥120 mL/min/1.73 m(2)) in 387 (8.0%). The median value for eGFR in all patients was 92.6 mL/min/1.73 m(2). Low eGFR was independently associated with risks of all clinical outcomes in stroke/transient ischemic attack patients or patients with ischemic events, but not in patients with hemorrhagic stroke. Additionally, high eGFR was positively associated with an increased risk of adverse outcomes in all stroke subtypes, including hemorrhagic stroke. CONCLUSIONS Low and high eGFRs (<45 or ≥120 mL/min/1.73 m(2), respectively) are independent predictors of all-cause mortality and other poor outcomes after acute stroke in patients with type 2 diabetes.
authors.affiliation: Corresponding author: Yongjun Wang, yongjunwang1962@gmail.com.
authors.forename: Yang
authors.initials: Y
authors.lastname: Luo
authors.forename: Xianwei
authors.initials: X
authors.lastname: Wang
authors.forename: Yilong
authors.initials: Y
authors.lastname: Wang
authors.forename: Chunxue
authors.initials: C
authors.lastname: Wang
authors.forename: Haichen
authors.initials: H
authors.lastname: Wang
authors.forename: David
authors.initials: D
authors.lastname: Wang
authors.forename: Liping
authors.initials: L
authors.lastname: Liu
authors.forename: Qian
authors.initials: Q
authors.lastname: Jia
authors.forename: Gaifen
authors.initials: G
authors.lastname: Liu
authors.forename: Xingquan
authors.initials: X
authors.lastname: Zhao
authors.forename: Yongjun
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000503:physiopathology; D005260:Female; D005919:Glomerular Filtration Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D012042:Registries; D012189:Retrospective Studies; D012307:Risk Factors; D020521:Stroke / Q000175:diagnosis* / Q000453:epidemiology* / Q000401:mortality; D015996:Survival Rate