The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Traditional and Nontraditional Risk Factors Predict Coronary Heart Disease in Chronic Kidney Disease: Results from the Atherosclerosis Risk in Communities Study
Abstract
Some risk factors for coronary heart disease (CHD) incidence in the general population are not associated with CHD incidence among patients with ESRD but have not been well characterized in chronic kidney disease (CKD). The association of several risk factors with CHD incidence was studied among participants with CKD in the population-based Atherosclerosis Risk in Communities (ARIC) Study. CHD risk factors and estimated GFR using serum creatinine were measured among 807 ARIC participants with CKD (estimated GFR between 15 and 59 ml/min per 1.73 m(2)). The incidence of CHD during 10.5 yr of follow-up was 6.3, 8.5, and 14.4 per 1000 person-years among ARIC participants with an estimated GFR of >/=90, 60 to 89, and 15 to 59 ml/min per 1.73 m(2), respectively. After adjustment for age, race, gender, and ARIC field center, among those with CKD, the relative risk (95% confidence interval) of CHD was 1.65 (1.01 to 2.67) for current smoking, 2.02 (1.27 to 3.22) for hypertension, 3.06 (2.01 to 4.67) for diabetes, and 1.96 (1.14 to 3.36) for anemia. The comparably adjusted relative risks of CHD for each standard deviation higher total and HDL cholesterol were 1.50 (1.25 to 1.71) and 0.79 (0.62 to 1.01), respectively, and 1.38 (1.13 to 1.69), 1.24 (1.06 to 1.46), 0.65 (0.54 to 0.79), and 1.38 (1.19 to 1.59) for waist circumference, leukocyte count, serum albumin, and fibrinogen, respectively. CHD risk factors in the general population remain predictive among patients with CKD. Given the high risk for CHD among patients with CKD, control of these risk factors may have a substantial impact on their excess burden of CHD.
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Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization
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Clinical epidemiology of cardiovascular disease in chronic renal disease
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Sarnak, M. J., Levey, A. S., Schoolwerth, A. C., Coresh, J., Culleton, B., Hamm, L. L., McCullough, P. A., Kasiske, B. L., Kelepouris, E., Klag, M. J., et al. (2003) · Circulation · doi:10.1161/01.cir.0000095676.90936.80 · Cited by 3,768
Self-citationCoresh, J., Astor, B. C., Greene, T., Eknoyan, G., & Levey, A. S. (2003) · American Journal of Kidney Diseases · doi:10.1053/ajkd.2003.50007 · Cited by 2,768
Self-citationRelation between Renal Dysfunction and Cardiovascular Outcomes after Myocardial Infarction
Anavekar, N. S., McMurray, J. J. V., Velazquez, E. J., Solomon, S. D., Kober, L., Rouleau, J.-L., White, H. D., Nordlander, R., Maggioni, A., Dickstein, K., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa041365 · Cited by 1,917
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Self-citationCardiovascular disease and mortality in a community-based cohort with mild renal insufficiency
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Renal Insufficiency and Subsequent Death Resulting from Cardiovascular Disease in the United States
Muntner, P., He, J., Hamm, L., Loria, C., & Whelton, P. K. (2002) · Journal of the American Society of Nephrology · doi:10.1681/asn.v133745 · Cited by 829
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Lash, J. P., Go, A. S., Appel, L. J., He, J., Ojo, A., Rahman, M., Townsend, R. R., Xie, D., Cifelli, D., Cohan, J., et al. (2009) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00070109 · Cited by 619
Self-citationStenvinkel, P., Carrero, J. J. A. A., Axelsson, J., Lindholm, B., Heimbu[Combining Diaeresis]rger, O., & Massy, Z. (2008) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03670807 · Cited by 561
Muntner, P., Anderson, A., Charleston, J., Chen, Z., Ford, V., Makos, G., O'Connor, A., Perumal, K., Rahman, M., Steigerwalt, S., et al. (2010) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2009.09.014 · Cited by 423
Self-citationHMG CoA reductase inhibitors (statins) for people with chronic kidney disease not requiring dialysis
Palmer, S. C., Navaneethan, S. D., Craig, J. C., Johnson, D. W., Perkovic, V., Hegbrant, J., & Strippoli, G. F. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007784.pub2 · Cited by 331
Large-scale plasma proteomic analysis identifies proteins and pathways associated with dementia risk
Walker, K. A., Chen, J., Zhang, J., Fornage, M., Yang, Y., Zhou, L., Grams, M. E., Tin, A., Daya, N., Hoogeveen, R. C., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00064-0 · Cited by 212
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Metadata
- Authors
- Muntner, P., He, J., Astor, B. C., Folsom, A. R., & Coresh, J.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2005-02
- Volume
- 16
- Issue
- 2
- Pages
- 529-538
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2108947052
- Cited by
- 493
- References
- 30
- FWCI
- 16.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- Muntner, P., He, J., Astor, B. C., Folsom, A. R., & Coresh, J. (2005). Traditional and Nontraditional Risk Factors Predict Coronary Heart Disease in Chronic Kidney Disease: Results from the Atherosclerosis Risk in Communities Study. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2004080656
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