1. Kidney Disease, Framingham Risk Scores, and Cardiac and Mortality Outcomes 
Daniel E. Weiner, MD, MS, Hocine Tighiouart, MS, John L. Griffith, PhD, Essam Elsayed, MD, Andrew S. Levey, MD, Deeb N. Salem, MD, Mark J. Sarnak, MD, MS 
The American Journal of Medicine 
Volume 120, Issue 6, Pages 552.e1-552.e8 (June 2007)
DOI: /j.amjmed
Copyright © 2007 Elsevier Inc. Terms and Conditions

2. Figure 1
Frequency of chronic kidney disease by calculated Framingham probability of developing coronary heart disease within 5 years, stratified by demographic group. Probability is stratified by sex-specific quartiles. The P value for trend within each demographic group is less than CKD=chronic kidney disease.
The American Journal of Medicine  , 552.e1-552.e8DOI: ( /j.amjmed )
Copyright © 2007 Elsevier Inc. Terms and Conditions

3. Figure 2
Rates of cardiac and mortality events per 1000 person-years stratified by race, sex, and chronic kidney disease status. CKD=chronic kidney disease.
The American Journal of Medicine  , 552.e1-552.e8DOI: ( /j.amjmed )
Copyright © 2007 Elsevier Inc. Terms and Conditions

4. Figure 3
The absolute risk of outcomes because of the presence of chronic kidney disease after accounting for the FRS.
The American Journal of Medicine  , 552.e1-552.e8DOI: ( /j.amjmed )
Copyright © 2007 Elsevier Inc. Terms and Conditions

5. Figure 4
The increase in the rate per 1000 person-years of cardiac and mortality events because of the presence of chronic kidney disease, diabetes, and smoking derived from adjusted “best Cox” models. CKD=chronic kidney disease.
The American Journal of Medicine  , 552.e1-552.e8DOI: ( /j.amjmed )
Copyright © 2007 Elsevier Inc. Terms and Conditions