Literature DB >> 18496511

Gender differences in predictors of the decline of renal function in the general population.

Nynke Halbesma1, Auke H Brantsma, Stephan J L Bakker, Desiree F Jansen, Ronald P Stolk, Dick De Zeeuw, Paul E De Jong, Ronald T Gansevoort.   

Abstract

We sought to identify predictors of the decline in renal function, especially those that are modifiable, in the 5488 participants of the prospective, community-based cohort study PREVEND who completed three visits during a mean follow-up of 6.5 years. The change in renal function was used as the outcome and this was calculated as the linear regression of three estimated GFR measurements obtained during follow-up. Risk factors, known to influence renal outcome in patients with primary renal diseases, were used as potential predictors in multivariate regression analyses. High systolic blood pressure and plasma glucose were found to be independent predictors for an accelerated decline in function for both genders. In males, albuminuria was the strongest independent predictor for renal function decline, whereas in females albuminuria was univariately associated only after adjustment for age. The direction of the association between cholesterol/HDL ratio and decline of renal function differed by gender. Surprisingly, in males, waist circumference was an independent predictor and positively associated with renal function outcome. These studies show that there are gender differences in the standard predictors of the decline in renal function.

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Year:  2008        PMID: 18496511     DOI: 10.1038/ki.2008.200

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  32 in total

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9.  Physical exercise, fasting glucose, and renal hyperfiltration in the general population: the Renal Iohexol Clearance Survey in Tromsø 6 (RENIS-T6).

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Journal:  Clin J Am Soc Nephrol       Date:  2012-08-23       Impact factor: 8.237

10.  Distribution of estimated glomerular filtration rate and determinants of its age dependent loss in a German population-based study.

Authors:  Thomas Waas; Andreas Schulz; Johannes Lotz; Heidi Rossmann; Norbert Pfeiffer; Manfred E Beutel; Irene Schmidtmann; Thomas Münzel; Philipp S Wild; Karl J Lackner
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

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