Literature DB >> 29934666

Trace proteinuria by dipstick screening is associated with metabolic syndrome, hypertension, and diabetes.

Rieko Okada1, Yoshinari Yasuda2, Kazuyo Tsushita3, Kenji Wakai4, Nobuyuki Hamajima5, Seiichi Matsuo2.   

Abstract

BACKGROUND: The purpose of this study is to determine the association of dipstick-determined trace proteinuria with metabolic syndrome (MetS) and its components in each age, gender, and eGFR category among a large general population.
METHODS: A total of 270,190 people (102,223 men and 167,967 women) aged 40-74 years were included. Subjects were categorized as having negative, trace, and positive proteinuria by the dipstick method.
RESULTS: The prevalence of MetS increased with increasing levels of proteinuria in any estimated glomerular filtration rate (eGFR) category (odds ratios for MetS relative to negative proteinuria: 1.22, 1.23, and 1.25 for trace proteinuria, and 2.19, 1.81, and 1.80 for positive proteinuria among subjects with eGFR of ≥ 90, 60-89, and 45-59 ml/min/1.73 m2, respectively). These associations were statistically significant in each age and sex category. Among MetS components, the prevalence of hypertension and diabetes increased with increasing levels of proteinuria (odds ratios for hypertension: 1.23 and 1.87, and odds ratios for diabetes: 1.28 and 2.18 for trace and positive proteinuria, respectively), which were similarly observed in any eGFR category. There were little or no differences in the prevalence of abdominal obesity and dyslipidemia (reduced HDL-cholesterol and/or elevated triglycerides) between the levels of proteinuria.
CONCLUSION: Subjects with dipstick-determined trace proteinuria showed intermediate risk of having MetS, hypertension, and diabetes between negative and positive proteinuria in any eGFR category in a large general population. Thus, MetS components should be checked for subjects with trace proteinuria even in those with normal eGFR for the early prevention of cardiovascular diseases.

Entities:  

Keywords:  Diabetes; Hypertension; Metabolic syndrome; Proteinuria

Mesh:

Year:  2018        PMID: 29934666     DOI: 10.1007/s10157-018-1601-3

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


  30 in total

1.  Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts.

Authors:  Ron T Gansevoort; Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh
Journal:  Kidney Int       Date:  2011-02-02       Impact factor: 10.612

2.  Urine dipstick to detect trace proteinuria: an underused tool for an underappreciated risk marker.

Authors:  Chi Pang Wen; Yi Chen Yang; Min Kuang Tsai; Sung Feng Wen
Journal:  Am J Kidney Dis       Date:  2011-07       Impact factor: 8.860

3.  Quantitative evaluation of proteinuria for health checkups is more efficient than the dipstick method.

Authors:  Kei Nagai; Kunihiro Yamagata
Journal:  Clin Exp Nephrol       Date:  2014-09-24       Impact factor: 2.801

Review 4.  The metabolic syndrome.

Authors:  Robert H Eckel; Scott M Grundy; Paul Z Zimmet
Journal:  Lancet       Date:  2005 Apr 16-22       Impact factor: 79.321

5.  Prevention of diabetic glomerulopathy by pharmacological amelioration of glomerular capillary hypertension.

Authors:  R Zatz; B R Dunn; T W Meyer; S Anderson; H G Rennke; B M Brenner
Journal:  J Clin Invest       Date:  1986-06       Impact factor: 14.808

6.  Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation.

Authors:  K G Alberti; P Z Zimmet
Journal:  Diabet Med       Date:  1998-07       Impact factor: 4.359

7.  Proteinuria and the risk of developing end-stage renal disease.

Authors:  Kunitoshi Iseki; Yoshiharu Ikemiya; Chiho Iseki; Shuichi Takishita
Journal:  Kidney Int       Date:  2003-04       Impact factor: 10.612

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.  Budget impact analysis of chronic kidney disease mass screening test in Japan.

Authors:  Masahide Kondo; Kunihiro Yamagata; Shu-Ling Hoshi; Chie Saito; Koichi Asahi; Toshiki Moriyama; Kazuhiko Tsuruya; Tsuneo Konta; Shouichi Fujimoto; Ichiei Narita; Kenjiro Kimura; Kunitoshi Iseki; Tsuyoshi Watanabe
Journal:  Clin Exp Nephrol       Date:  2014-02-11       Impact factor: 2.801

10.  Diagnostic accuracy of urine dipstick for proteinuria in older outpatients.

Authors:  Dongmin Lim; Dong-Young Lee; Soung Ha Cho; One Zoong Kim; Sang Woo Cho; Su Kyoung An; Hwe Won Kim; Kyoung Hyoub Moon; Myung Hee Lee; Beom Kim
Journal:  Kidney Res Clin Pract       Date:  2014-11-28
View more
  2 in total

1.  Trace Proteinuria and the Incidence of Overt Proteinuria After Five Years: Results of the Kanagawa Investigation of the Total Checkup Data From the National Database-5 (KITCHEN-5).

Authors:  Kei Nakajima; Ryoko Higuchi; Kaori Mizusawa
Journal:  J Clin Med Res       Date:  2020-08-15

2.  Stratified risks of infection-related hospitalization in patients with chronic kidney disease - A prospective cohort study.

Authors:  Wei-Shun Yang; Yi-Cheng Chang; Meng-Lun Hsieh; Jiun-Ling Wang; Li-Chiu Wu; Chia-Hsuin Chang
Journal:  Sci Rep       Date:  2020-03-11       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.