Literature DB >> 21852604

Chronic kidney disease and drinking status in relation to risks of stroke and its subtypes: the Circulatory Risk in Communities Study (CIRCS).

Yuji Shimizu1, Kenji Maeda, Hironori Imano, Tetsuya Ohira, Akihiko Kitamura, Masahiko Kiyama, Takeo Okada, Yoshinori Ishikawa, Takashi Shimamoto, Kazumasa Yamagishi, Takeshi Tanigawa, Hiroyasu Iso.   

Abstract

BACKGROUND AND
PURPOSE: Several epidemiological studies have established an association between chronic kidney disease (CKD), based on estimated glomerular filtration rate (GFR), and risk of stroke. However, sex-specific evidence for the relationship between CKD and risk of stroke and its subtypes is still limited.
METHODS: We conducted a prospective cohort study of 12 222 Japanese men and women age 40 to 69 years living in 4 communities under systematic surveillance of stroke incidence to determine the relationship between CKD and risk of stroke and its subtypes.
RESULTS: During the 17-year follow-up, there were 566 strokes (327 ischemic and 186 hemorrhagic strokes). GFR was inversely associated with age- and community-adjusted risk of total stroke for both men and women. Compared with the reference group without CKD (GFR ≥60 mL/min per 1.73m(2)), the adjusted risks of total stroke for subjects with CKD (GFR <60 mL/min per 1.73m(2)) were 1.63 (1.22-2.17) for men and 1.51 (1.13-2.02) for women. Excess risk of stroke associated with CKD was identified primarily for hemorrhagic stroke among men and for ischemic stroke among women. After adjustment for traditional cardiovascular risk factors, associations remained statistically significant. When stratified by drinking status, excess risk of hemorrhagic stroke with CKD was confined to drinkers; adjusted risks were 4.18 (2.31-7.57) for men and 7.00 (1.92-25.56) for women.
CONCLUSIONS: CKD was associated with increased risk of hemorrhagic stroke for men, and of ischemic stroke for women. This sex difference may partly be explained by the difference in prevalence of drinkers between men and women.

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Mesh:

Year:  2011        PMID: 21852604     DOI: 10.1161/STROKEAHA.110.600759

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  17 in total

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Authors:  Yao Cheng; Fan-Zhen Kong; Xiao-Feng Dong; Qin-Rong Xu; Qian Gui; Wei Wang; Hong-Xuan Feng; Wei-Feng Luo; Zong-En Gao; Guan-Hui Wu
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Review 2.  Atrial Fibrillation and Oral Anticoagulation in Chronic Kidney Disease.

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Review 3.  Management of Atrial Fibrillation in Patients With Kidney Disease.

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Journal:  J Atr Fibrillation       Date:  2014-04-30

Review 4.  Understanding and Managing Atrial Fibrillation in Patients with Kidney Disease.

Authors:  Yazan Khouri; Tiona Stephens; Gloria Ayuba; Hazim AlAmeri; Nour Juratli; Peter A McCullough
Journal:  J Atr Fibrillation       Date:  2015-04-30

Review 5.  Intersection of cardiovascular disease and kidney disease: atrial fibrillation.

Authors:  Nisha Bansal; Chi-yuan Hsu; Alan S Go
Journal:  Curr Opin Nephrol Hypertens       Date:  2014-05       Impact factor: 2.894

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8.  Age and association of kidney measures with mortality and end-stage renal disease.

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Journal:  JAMA       Date:  2012-12-12       Impact factor: 56.272

9.  Relative risks of chronic kidney disease for mortality and end-stage renal disease across races are similar.

Authors:  Chi Pang Wen; Kunihiro Matsushita; Josef Coresh; Kunitoshi Iseki; Muhammad Islam; Ronit Katz; William McClellan; Carmen A Peralta; HaiYan Wang; Dick de Zeeuw; Brad C Astor; Ron T Gansevoort; Andrew S Levey; Adeera Levin
Journal:  Kidney Int       Date:  2014-02-12       Impact factor: 10.612

10.  Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Authors:  Kunihiro Matsushita; Bakhtawar K Mahmoodi; Mark Woodward; Jonathan R Emberson; Tazeen H Jafar; Sun Ha Jee; Kevan R Polkinghorne; Anoop Shankar; David H Smith; Marcello Tonelli; David G Warnock; Chi-Pang Wen; Josef Coresh; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey
Journal:  JAMA       Date:  2012-05-09       Impact factor: 56.272

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