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Kidney function and discrimination of cardiovascular risk in middle-aged men
Dalarna University, School of Education, Health and Social Studies, Medical Science.ORCID iD: 0000-0002-6933-4637
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2009 (English)In: Journal of Internal Medicine, ISSN 0954-6820, E-ISSN 1365-2796, Vol. 266, no 4, p. 406-413Article in journal (Refereed) Published
Abstract [en]

Objective. To define the optimal glomerular filtration rate (GFR) cut off for discriminating the risk of myocardial infarction or cardiovascular death. 

Design. Prospective longitudinal observational study. Setting. A community-based cohort. 

Participants. A total of 2176 nondiabetic 50-year-old men without cardiovascular disease. 

Methods. The men were followed until age 70. GFR was estimated at baseline using the Cockcroft-Gault formula. The optimal GFR cut-off points for discriminating risk of a fatal or nonfatal myocardial infarction and cardiovascular death were defined as the GFR levels maximizing integrated discrimination improvement (IDI). 

Main outcome measures. Fatal or nonfatal myocardial infarction, cardiovascular death. 

Results. During follow-up, 264 men experienced a fatal or nonfatal myocardial infarction, and 218 died of cardiovascular disease. The IDI-defined optimal GFR cut offs in this study were 98 mL min-1 for discriminating myocardial infarction risk and 92 mL min-1 for discriminating risk of cardiovascular death. In Cox proportional hazard models adjusting for established risk factors, the myocardial infarction risk was substantially higher in men with GFR below versus above 98 mL min-1 [hazard ratio (HR) 1.7, 95% confidence interval (CI) 1.3-2.3, P < 0.001], and the risk of cardiovascular death was doubled in men with GFR below versus above 92 mL min-1 (HR 2.1, 95% CI 1.5-3.0, P < 0.001). 

Conclusion. The GFR cut-off point for optimal discrimination of cardiovascular risk in the general population may be higher than previously suggested.

Place, publisher, year, edition, pages
2009. Vol. 266, no 4, p. 406-413
Keywords [en]
cardiovascular risk factors; chronic renal failure; cohort study; coronary heart disease; statistics; risk factors
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:du-3954DOI: 10.1111/j.1365-2796.2009.02122.xISI: 000269875100008PubMedID: 19500212OAI: oai:dalea.du.se:3954DiVA, id: diva2:520067
Available from: 2009-04-20 Created: 2009-04-20 Last updated: 2017-12-07Bibliographically approved

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Ärnlöv, Johan

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