Literature DB >> 25059228

Comparison of predictive value for first cardiovascular event between Japanese GFR equation and coefficient-modified CKD-EPI equation.

Hiroyuki Terawaki1, Masaaki Nakayama2, Koichi Asahi2,3, Takeyasu Kakamu4, Takehito Hayakawa4, Kunitoshi Iseki3, Kenjiro Kimura3, Toshiki Moriyama3, Kunihiro Yamagata3, Ichiei Narita3, Shouichi Fujimoto3, Kazuhiko Tsuruya3, Tsuneo Konta3, Masahide Kondo3, Issei Kurahashi5, Yasuo Ohashi6, Tetsuhito Fukushima4, Tsuyoshi Watanabe2,3.   

Abstract

BACKGROUND: The most superior GFR-estimating equation from the viewpoint of cardiovascular disease (CVD) prediction remains unclear. Thus, we performed cross-sectional comparison between two GFR-estimating equations (Japanese GFR equation and coefficient-modified CKD-EPI equation) and CVD incidence using Japanese nationwide "specific health checkup" data.
METHODS: We recruited Japanese residents (241,159 individuals; mean 63 years; male, 38.6 %) who had not experienced CVD event (cardiac disease or stroke, or both). We calculated estimated GFR using two equations, and compared their predictive value for first symptomatic CVD event within 1 year.
RESULTS: Of all subjects, the mean GFR estimated by the Japanese GFR equation (JPN-eGFR) modified for Japanese was 75.83 ± 16.18 mL/min/1.73 m(2), and that by the coefficient-modified CKD-EPI equation (mCKDEPI-eGFR) was 76.39 ± 9.61 mL/min/1.73 m(2). Area under the receiver operating characteristics curves (95 % confidence intervals) for predicting CVD event by mCKDEPI-eGFR vs. JPN-eGFR were 0.596 (0.589-0.603) vs. 0.562 (0.554-0.569). Using mCKDEPI-eGFR, the crude odds ratio (OR) for CVD incident in the 4th quartile group was far more than double (OR 2.46, 95 % CI 2.29-2.66) that in the 1st quartile group. Using JPN-eGFR, the crude OR in the 4th quartile group was less than double (OR 1.61, 95 % CI 1.51-1.73) that in the 1st quartile group. However, such superior predictive value of mCKDEPI-eGFR disappeared after adjustment for confounding factors (age, gender, BMI, presence of proteinuria, hypertension, diabetes, dyslipidemia and current smoking).
CONCLUSION: GFR estimated by the coefficient-modified CKD-EPI equation was more closely related to CVD incidence than that estimated by the Japanese GFR equation. However, it is possible that low mCKDEPI-eGFR also reflects some cardiovascular risk(s) other than kidney dysfunction.

Entities:  

Keywords:  CKD-EPI; Cardiovascular disease; Chronic kidney disease; General population; Japanese GFR equation; MDRD

Mesh:

Year:  2014        PMID: 25059228     DOI: 10.1007/s10157-014-0997-7

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


  16 in total

1.  Proteinuria and clinical outcomes after ischemic stroke.

Authors:  Y Kumai; M Kamouchi; J Hata; T Ago; J Kitayama; H Nakane; H Sugimori; T Kitazono
Journal:  Neurology       Date:  2012-05-16       Impact factor: 9.910

Review 2.  Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review.

Authors:  Amy Earley; Dana Miskulin; Edmund J Lamb; Andrew S Levey; Katrin Uhlig
Journal:  Ann Intern Med       Date:  2012-02-06       Impact factor: 25.391

3.  Risk factor profiles based on estimated glomerular filtration rate and dipstick proteinuria among participants of the Specific Health Check and Guidance System in Japan 2008.

Authors:  Kunitoshi Iseki; Koichi Asahi; Toshiki Moriyama; Kunihiro Yamagata; Kazuhiko Tsuruya; Hideaki Yoshida; Shoichi Fujimoto; Tsuneo Konta; Issei Kurahashi; Yasuo Ohashi; Tsuyoshi Watanabe
Journal:  Clin Exp Nephrol       Date:  2011-11-08       Impact factor: 2.801

4.  Regional arterial stiffness in patients with type 2 diabetes and chronic kidney disease.

Authors:  Eiji Kimoto; Tetsuo Shoji; Kayo Shinohara; Sawako Hatsuda; Katsuhito Mori; Shinya Fukumoto; Hidenori Koyama; Masanori Emoto; Yasuhisa Okuno; Yoshiki Nishizawa
Journal:  J Am Soc Nephrol       Date:  2006-07-12       Impact factor: 10.121

5.  Oxidative stress is enhanced in correlation with renal dysfunction: examination with the redox state of albumin.

Authors:  Hiroyuki Terawaki; Kazunobu Yoshimura; Toshio Hasegawa; Yukie Matsuyama; Tsuneo Negawa; Kenichi Yamada; Masato Matsushima; Masaaki Nakayama; Tatsuo Hosoya; Seiichi Era
Journal:  Kidney Int       Date:  2004-11       Impact factor: 10.612

6.  Kidney dysfunction as a risk factor for first symptomatic stroke events in a general Japanese population--the Ohasama study.

Authors:  Masaaki Nakayama; Hirohito Metoki; Hiroyuki Terawaki; Takayoshi Ohkubo; Masahiro Kikuya; Toshinobu Sato; Keisuke Nakayama; Kei Asayama; Ryusuke Inoue; Junichiro Hashimoto; Kazuhito Totsune; Haruhisa Hoshi; Sadayoshi Ito; Yutaka Imai
Journal:  Nephrol Dial Transplant       Date:  2007-03-29       Impact factor: 5.992

7.  Inflammation, endothelial dysfunction, and platelet activation in patients with chronic kidney disease: the chronic renal impairment in Birmingham (CRIB) study.

Authors:  Martin J Landray; David C Wheeler; Gregory Y H Lip; David J Newman; Andrew D Blann; Fiona J McGlynn; Simon Ball; John N Townend; Colin Baigent
Journal:  Am J Kidney Dis       Date:  2004-02       Impact factor: 8.860

8.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

9.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

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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  4 in total

1.  Alcohol consumption and incidence of proteinuria: a retrospective cohort study.

Authors:  Yoshiki Kimura; Ryohei Yamamoto; Maki Shinzawa; Yoshitaka Isaka; Kunitoshi Iseki; Kunihiro Yamagata; Kazuhiko Tsuruya; Hideaki Yoshida; Shouichi Fujimoto; Koichi Asahi; Toshiki Moriyama; Tsuyoshi Watanabe
Journal:  Clin Exp Nephrol       Date:  2018-03-29       Impact factor: 2.801

2.  Comparison between urine albumin-to-creatinine ratio and urine protein dipstick testing for prevalence and ability to predict the risk for chronic kidney disease in the general population (Iwate-KENCO study): a prospective community-based cohort study.

Authors:  Yorihiko Koeda; Fumitaka Tanaka; Toshie Segawa; Mutsuko Ohta; Masaki Ohsawa; Kozo Tanno; Shinji Makita; Yasuhiro Ishibashi; Kazuyoshi Itai; Shin-Ichi Omama; Toshiyuki Onoda; Kiyomi Sakata; Kuniaki Ogasawara; Akira Okayama; Motoyuki Nakamura
Journal:  BMC Nephrol       Date:  2016-05-12       Impact factor: 2.388

3.  Improvement of renal function estimation equations for elderly Japanese people.

Authors:  Soyoko Kaburaki; Eri Yoshimura; Nozomi Kojima; Hidefumi Ueno; Mitsuru Sugawara; Yoh Takekuma
Journal:  Health Sci Rep       Date:  2018-09-05

4.  A Slight Decrease in the Serum Albumin Level Is Associated with the Rapid Progression of Kidney Dysfunction, Even within the Normal Range.

Authors:  Hoichi Amano; Kazunobu Yoshimura; Ryutaro Iijima; Kaito Waki; Keisei Matsumoto; Hitomi Ueda; Yasuko Ito; Kimihiko Akimoto; Takashi Yokoo; Kazuo Inoue; Hiroyuki Terawaki
Journal:  Intern Med       Date:  2020-07-14       Impact factor: 1.271

  4 in total

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