Literature DB >> 21818546

Significance of past history of renal failure for the detection of high-risk individuals for cardiovascular and end-stage renal disease: analysis of data from a nationwide health checkup.

Kazunobu Ichikawa1, Tsuneo Konta, Ami Ikeda, Shouichi Fujimoto, Kunitoshi Iseki, Toshiki Moriyama, Kunihiro Yamagata, Kazuhiko Tsuruya, Hideaki Yoshida, Koichi Asahi, Issei Kurahashi, Yasuo Ohashi, Tsuyoshi Watanabe.   

Abstract

BACKGROUND: Clinical information regarding risk factors may be helpful in the detection of various diseases. This cross-sectional study examined the characteristics of subjects with past history of renal failure, and assessed whether this information would be useful for the efficient detection of high-risk individuals for chronic kidney disease (CKD) and cardiovascular disease (CVD) at health checkup.
METHODS: This study utilized data from a nationwide health checkup, "The Specific Health Check and Guidance in Japan," and data for 250,130 adult subjects were analyzed. Subjects with self-reported history of renal failure and receiving dialysis therapy were defined as having a history of renal failure.
RESULTS: Among total participants, there were 1,400 (0.6%) with a history of renal failure. The prevalence of a history of renal failure was higher in subjects with CKD than in those without CKD (1.5 vs. 0.3%, P < 0.001) and increased with progression of the stage of CKD (0.9-43.5%). Subjects with a history of renal failure had a reduced estimated glomerular filtration rate (44.6 ± 20.3 ml/min/1.73 m(2)) and a higher prevalence of CKD (50.5%) and CVD (31.9%), compared with subjects with hypertension, diabetes or metabolic syndrome. Multivariate logistic regression analysis showed an independent association between a history of CVD and renal failure (odds ratio 3.68, 95% confidence interval 3.26-4.15), after adjustment for confounding factors.
CONCLUSIONS: A history of renal failure was strongly associated with advanced CKD and CVD. Information regarding history of renal failure could be utilized to efficiently detect high-risk individuals at health checkup.

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Year:  2011        PMID: 21818546     DOI: 10.1007/s10157-011-0509-y

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  18 in total

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