Literature DB >> 33846427

The impact of baseline glomerular filtration rate on subsequent changes of glomerular filtration rate in patients with chronic kidney disease.

Yi-Chih Lin1,2,3, Tai-Shuan Lai4, Shuei-Liong Lin2,5,6,7, Yung-Ming Chen2, Tzong-Shinn Chu2, Yu-Kang Tu8,9,10.   

Abstract

Higher baseline glomerular filtration rate (GFR) may yield subsequent steeper GFR decline, especially in patients with diabetes mellitus (DM). However, this correlation in patients with chronic kidney disease (CKD) and the presence or absence of DM remains controversial. We conducted a longitudinal cohort study in a single medical center between 2011 and 2018. Participants with CKD stage 1 to 3A were enrolled and divided into DM groups and non-DM groups, and then followed up at least every 6 months. We used a linear mixed regression model with centering time variable to overcome the problem of mathematical coupling in the analysis of the relation between baseline GFR and the changes, and compared the results from correct and incorrect specifications of the mixed models. A total number of 1002 patients with 285 diabetic and 717 non-diabetic persons was identified. The linear mixed regression model revealed a significantly negative correlation between baseline GFR and subsequent GFR change rate in both diabetic group and non-diabetic group (r =  - 0.44 [95% confidence interval [CI], - 0.69 to - 0.09]), but no statistical significance in non-diabetic group after within-subject mean centering of time variable (r =  - 0.09 [95% CI, - 0.41 to 0.25]). Our study showed that higher baseline GFR was associated with a subsequent steeper GFR decline in the DM group but not in the non-DM group among patients with early-stage CKD. Exact model specifications should be described in detail to prevent from a spurious conclusion.

Entities:  

Year:  2021        PMID: 33846427     DOI: 10.1038/s41598-021-86955-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  41 in total

1.  Mathematic coupling of data: a common source of error.

Authors:  J P Archie
Journal:  Ann Surg       Date:  1981-03       Impact factor: 12.969

Review 2.  The hyperfiltration theory: a paradigm shift in nephrology.

Authors:  B M Brenner; E V Lawler; H S Mackenzie
Journal:  Kidney Int       Date:  1996-06       Impact factor: 10.612

3.  GFR decline and subsequent risk of established kidney outcomes: a meta-analysis of 37 randomized controlled trials.

Authors:  Hiddo J Lambers Heerspink; Hocine Tighiouart; Yingying Sang; Shoshana Ballew; Hasi Mondal; Kunihiro Matsushita; Josef Coresh; Andrew S Levey; Lesley A Inker
Journal:  Am J Kidney Dis       Date:  2014-10-16       Impact factor: 8.860

4.  Longitudinal measurements of renal function.

Authors:  Paul Muntner
Journal:  Semin Nephrol       Date:  2009-11       Impact factor: 5.299

5.  Prevalence of chronic kidney disease in the United States.

Authors:  Josef Coresh; Elizabeth Selvin; Lesley A Stevens; Jane Manzi; John W Kusek; Paul Eggers; Frederick Van Lente; Andrew S Levey
Journal:  JAMA       Date:  2007-11-07       Impact factor: 56.272

6.  Hyperfiltration in remnant nephrons: a potentially adverse response to renal ablation.

Authors:  T H Hostetter; J L Olson; H G Rennke; M A Venkatachalam; B M Brenner
Journal:  Am J Physiol       Date:  1981-07

Review 7.  How does minor renal dysfunction influence cardiovascular risk and the management of cardiovascular disease?

Authors:  Tobias Pinkau; Karl F Hilgers; Roland Veelken; Johannes F E Mann
Journal:  J Am Soc Nephrol       Date:  2004-03       Impact factor: 10.121

8.  Elevated blood pressure is not associated with accelerated glomerular filtration rate decline in the general non-diabetic middle-aged population.

Authors:  Bjørn O Eriksen; Vidar T N Stefansson; Trond G Jenssen; Ulla D Mathisen; Jørgen Schei; Marit D Solbu; Tom Wilsgaard; Toralf Melsom
Journal:  Kidney Int       Date:  2016-05-14       Impact factor: 10.612

9.  Hemodynamically mediated glomerular injury and the progressive nature of kidney disease.

Authors:  B M Brenner
Journal:  Kidney Int       Date:  1983-04       Impact factor: 10.612

10.  Patient awareness of chronic kidney disease: trends and predictors.

Authors:  Laura C Plantinga; L Ebony Boulware; Josef Coresh; Lesley A Stevens; Edgar R Miller; Rajiv Saran; Kassandra L Messer; Andrew S Levey; Neil R Powe
Journal:  Arch Intern Med       Date:  2008-11-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.