Evidence map›Paper›PMID 19572030›Full record

ArticleThe open cardiovascular medicine journal2009

Kidney function and estimated vascular risk in patients with primary dyslipidemia.

Konstantinos Tziomalos, Emmanuel S Ganotakis, Irene F Gazi, Devaki R Nair, Dimitri P Mikhailidis

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Article in The open cardiovascular medicine journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Konstantinos TziomalosDepartment of Clinical Biochemistry (Vascular Prevention Clinic) and Department of Surgery, Royal Free Campus, University College London Medical School, University College London (UCL), London, UK.
Emmanuel S Ganotakis
Irene F Gazi
Devaki R Nair
Dimitri P Mikhailidis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is associated with increased vascular risk. Some studies suggested that considering markers of CKD might improve the predictive accuracy of the Framingham risk equation.

aimTo evaluate the links between kidney function and risk stratification in patients with primary dyslipidemia.

methodsDyslipidemic patients (n = 156; 83 men) who were non-smokers, did not have diabetes mellitus or evident vascular disease and were not on lipid-lowering or antihypertensive agents were recruited. Creatinine clearance (CrCl) was estimated using the Cockcroft-Gault equation. Estimated glomerular filtration rate (eGFR) was calculated using the Modification of Diet in Renal Disease (MDRD) equation. We estimated vascular risk using the Framingham equation.

resultsIn both men and women, there was a significant negative correlation between estimated Framingham risk and both eGFR and CrCl (p < 0.001 for all correlations). When men were divided according to creatinine tertiles, there were no significant differences in any parameter between groups. When men were divided according to either eGFR or CrCl tertiles, all estimated Framingham risks significantly increased as renal function declined (p<0.001 for all trends). When women were divided according to creatinine tertiles, all estimated Framingham risks except for stroke significantly increased as creatinine levels increased. When women were divided according to either eGFR or CrCl tertiles, all estimated Framingham risks significantly increased as renal function declined.

conclusionsEstimated vascular risk increases as renal function declines. The possibility that incorporating kidney function in the Framingham equation will improve risk stratification requires further evaluation.

Indexed as

chronic kidney diseaseCreatinineestimated glomerular filtration rateFramingham risk score.vascular risk

Identifiers

PMID19572030
PMCPMC2703830

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