Literature DB >> 19452243

High variability of albuminuria in nondiabetic population: the Takahata Study.

Kazuko Suzuki1, Tsuneo Konta2, Satoshi Takasaki1, Ami Ikeda1, Kazunobu Ichikawa1, Hitoshi Sato1, Yoko Shibata1, Tetsu Watanabe1, Takeo Kato3, Sumio Kawata4, Isao Kubota1.   

Abstract

BACKGROUND: Albuminuria is a risk factor for renal and cardiovascular events and shows a quick change reflecting vascular status. The aim of this study is to examine the frequency and related factors of the short-term change of albuminuria in nondiabetic Japanese population.
METHODS: The study subjects were 1,378 individuals (mean age 63.9 years) who attended community-based health checkup in 2004 and 2005 in Takahata town. Albuminuria was evaluated by urine albumin creatinine ratio in morning urine and was categorized into four stages (low normal, high normal, and micro- and macroalbuminuria).
RESULTS: At baseline, the prevalence of subjects with low normal, high normal, and micro- and macroalbuminuria was 62.3, 17.3, 18.7, and 1.7%, respectively. During 1 year, progression and remission of albuminuria stages were observed in 23.1 and 14.5% of total subjects, respectively. Both progression and remission of albuminuria were frequently detected at every stage, especially in high normal albuminuria (29% in progression and 39% in remission, respectively). On multivariate analysis, the changes of albuminuria were associated with older age, blood pressures, total protein, estimated glomerular filtration rate (GFR), and urine sodium excretion at baseline, start of antidiabetic drugs, changes in body weight (+/-1 kg), hemoglobin (+/-1 g/dl), and urine sodium excretion (+/-50 mEq/day).
CONCLUSION: This study revealed that albuminuria showed high variability associated with age and small changes in modifiable risk factors during 1 year. In the treatment and risk analysis of subjects with albuminuria, the effect of these factors should be considered.

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Year:  2009        PMID: 19452243     DOI: 10.1007/s10157-009-0177-3

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


  22 in total

1.  What predicts progression and regression of urinary albumin excretion in the nondiabetic population?

Authors:  Auke H Brantsma; Jarir Atthobari; Stephan J L Bakker; Dick de Zeeuw; Paul E de Jong; Ronald T Gansevoort
Journal:  J Am Soc Nephrol       Date:  2007-01-10       Impact factor: 10.121

Review 2.  Macroalbuminuria and microalbuminuria: do both predict renal and cardiovascular events with similar strength?

Authors:  Paul E de Jong; Ron T Gansevoort; Stephan J L Bakker
Journal:  J Nephrol       Date:  2007 Jul-Aug       Impact factor: 3.902

3.  Extended prognostic value of urinary albumin excretion for cardiovascular events.

Authors:  Auke H Brantsma; Stephan J L Bakker; Dick de Zeeuw; Paul E de Jong; Ronald T Gansevoort
Journal:  J Am Soc Nephrol       Date:  2008-06-04       Impact factor: 10.121

4.  Prevalence and risk factor analysis of microalbuminuria in Japanese general population: the Takahata study.

Authors:  T Konta; Z Hao; H Abiko; M Ishikawa; T Takahashi; A Ikeda; K Ichikawa; S Takasaki; I Kubota
Journal:  Kidney Int       Date:  2006-08       Impact factor: 10.612

5.  Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals.

Authors:  H C Gerstein; J F Mann; Q Yi; B Zinman; S F Dinneen; B Hoogwerf; J P Hallé; J Young; A Rashkow; C Joyce; S Nawaz; S Yusuf
Journal:  JAMA       Date:  2001-07-25       Impact factor: 56.272

6.  Determinants of urinary albumin excretion reduction in essential hypertension: A long-term follow-up study.

Authors:  Jose Maria Pascual; Enrique Rodilla; Amparo Miralles; Carmen Gonzalez; Josep Redon
Journal:  J Hypertens       Date:  2006-11       Impact factor: 4.844

7.  The effect of irbesartan on the development of diabetic nephropathy in patients with type 2 diabetes.

Authors:  H H Parving; H Lehnert; J Bröchner-Mortensen; R Gomis; S Andersen; P Arner
Journal:  N Engl J Med       Date:  2001-09-20       Impact factor: 91.245

Review 8.  What is the evidence that microalbuminuria is a predictor of cardiovascular disease events?

Authors:  Matthew F Yuyun; Amanda I Adler; Nicholas J Wareham
Journal:  Curr Opin Nephrol Hypertens       Date:  2005-05       Impact factor: 2.894

Review 9.  Albuminuria reflects widespread vascular damage. The Steno hypothesis.

Authors:  T Deckert; B Feldt-Rasmussen; K Borch-Johnsen; T Jensen; A Kofoed-Enevoldsen
Journal:  Diabetologia       Date:  1989-04       Impact factor: 10.122

10.  Impact of weight change on albuminuria in the general population.

Authors:  Aminu K Bello; Dick de Zeeuw; Meguid El Nahas; Auke H Brantsma; Stephan J L Bakker; Paul E de Jong; Ronald T Gansevoort
Journal:  Nephrol Dial Transplant       Date:  2007-03-14       Impact factor: 5.992

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  3 in total

1.  High-normal albuminuria and incident chronic kidney disease in a male nondiabetic population.

Authors:  Aki Ashitani; Toshinori Ueno; Ayumu Nakashima; Shigehiro Doi; Kiminori Yamane; Takao Masaki
Journal:  Clin Exp Nephrol       Date:  2017-12-26       Impact factor: 2.801

2.  Relationship between dietary intake and microalbuminuria: findings from the Takahata study.

Authors:  Masahiro Sato; Atsushi Hozawa; Tsuneo Konta; Li Shao; Katsumi Otani; Hiroto Narimatsu; Satoshi Sasaki; Takeo Kato; Isao Kubota; Hidetoshi Yamashita; Takamasa Kayama; Akira Fukao
Journal:  Clin Exp Nephrol       Date:  2011-10-04       Impact factor: 2.801

3.  Change in Albuminuria and Risk of Renal and Cardiovascular Outcomes: Natural Variation Should Be Taken into Account.

Authors:  Margaret Smith; William G Herrington; Misghina Weldegiorgis; Fd Richard Hobbs; Clare Bankhead; Mark Woodward
Journal:  Kidney Int Rep       Date:  2018-04-16
  3 in total

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