Literature DB >> 23218582

Renal dysfunction and long-term risk of ischemic and hemorrhagic stroke following coronary artery bypass grafting.

Martin J Holzmann1, Erik Ahlbäck, Anders Jeppsson, Ulrik Sartipy.   

Abstract

BACKGROUND: Renal dysfunction is associated with increased long-term mortality and incidence of myocardial infarction following coronary artery bypass grafting (CABG). Little is known about the relationship between renal dysfunction and long-term risk of stroke following CABG. METHODS AND
RESULTS: All 29 057 patients who underwent primary isolated CABG from 2000 through 2008 in Sweden, with no myocardial infarction within 14 days before surgery and no prior stroke, were included from the SWEDEHEART registry. During a mean follow-up of 4.5 years, there were 1563 (5.4%) first strokes (74% ischemic, 8% hemorrhagic, and 18% unspecified). Glomerular filtration rates (eGFR) were estimated using the Modification of Diet in Renal Disease equation. Hazard ratios (HR) with 95% confidence intervals (CI) were calculated for stroke in relation to eGFR. Adjusted HR for all stroke in patients with eGFR 45 to 60, 30 to 45 and 15 to 30 mL/min/1.73 m(2) were; 1.17 (1.03 to 1.34), 1.52 (1.25 to 1.85) and 1.79 (1.20 to 2.65), respectively compared to patients with eGFR >60 mL/min/1.73 m(2). Gender-specific analysis did not show any major differences between men and women. The adjusted risk of hemorrhagic stroke was somewhat higher than for ischemic stroke: HR 2.07 (1.15 to 3.73) vs. 1.55 (1.26 to 1.91), in patients with eGFR 15 to 45 mL/min/1.73 m(2).
CONCLUSIONS: Renal dysfunction is associated with increased long-term risk of stroke after primary isolated CABG. The impact of renal dysfunction on risk of stroke appears to be similar for both men and women.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Kidney; Prognosis; Stroke; Surgery

Mesh:

Year:  2012        PMID: 23218582     DOI: 10.1016/j.ijcard.2012.11.082

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  7 in total

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