dc.contributor.author | Melsom, Toralf | |
dc.contributor.author | Fuskevåg, Ole-Martin | |
dc.contributor.author | Mathisen, Ulla Dorte | |
dc.contributor.author | Strand, Harald | |
dc.contributor.author | Schei, Jørgen | |
dc.contributor.author | Jenssen, Trond Geir | |
dc.contributor.author | Solbu, Marit Dahl | |
dc.contributor.author | Eriksen, Bjørn Odvar | |
dc.date.accessioned | 2016-02-23T15:10:43Z | |
dc.date.available | 2016-02-23T15:10:43Z | |
dc.date.issued | 2015-01-23 | |
dc.description.abstract | Background: Estimated glomerular filtration rate (eGFR) based on either cystatin C or
creatinine perform similarly in estimating measured GFR, but associate differently with
cardiovascular disease (CVD) and mortality. This could be due to confounding by non-GFRrelated
traits associated with cystatin C and creatinine levels. We investigated non-GFRrelated
associations between eGFR and two types of non-traditional risk factors for CVD and
death: L-arginine/dimethylarginine metabolism and insulin resistance.
<p>Methods: GFR was measured via iohexol clearance in a cross-sectional study of 1,624
middle-aged persons from the general population without CVD, diabetes or chronic kidney
disease. The dimethylarginines were measured using liquid chromatography tandem mass
spectrometry (LC-MSMS). Insulin resistance was determined by the homeostasis model
assessment (HOMA-IR).
<p>Results: Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), the
L-arginine/ADMA ratio, and insulin resistance were associated with creatinine-based eGFR
after accounting for measured GFR in multivariable adjusted analyses. The cystatin C-based
eGFR showed a similar residual association with SDMA; an oppositely directed, borderline
significant association with ADMA; and a stronger residual association with insulin resistance
compared with eGFR based on creatinine.
<p>Conclusion: Both creatinine- and cystatin C-based eGFR are influenced by non-traditional
risk factors, which may bias risk prediction by eGFR in longitudinal studies. | en_US |
dc.description | This is the accepted manuscript version. Published version available at <a href=http://dx.doi.org/10.1159/000371557>http://dx.doi.org/10.1159/000371557</a> | en_US |
dc.identifier.citation | American Journal of Nephrology 2015, 41(1):7-15 | en_US |
dc.identifier.cristinID | FRIDAID 1252115 | |
dc.identifier.doi | 10.1159/000371557 | |
dc.identifier.issn | 1421-9670 | |
dc.identifier.uri | https://hdl.handle.net/10037/8542 | |
dc.identifier.urn | URN:NBN:no-uit_munin_8109 | |
dc.language.iso | eng | en_US |
dc.publisher | Karger | en_US |
dc.rights.accessRights | openAccess | |
dc.subject | VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771 | en_US |
dc.subject | VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Cardiology: 771 | en_US |
dc.title | Estimated GFR is biased by non-traditional cardiovascular risk factors | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |