| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Circulation. 2003;107:87.)
© 2003 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Departments of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco, and the Veterans Affairs Medical Center, San Francisco (M.G.S.); Renal-Electrolyte Division, University of Pittsburgh School of Medicine, and the Renal Section, VA Pittsburgh Healthcare System (L.F.F.); Departments of Medicine (B.M.P.), Epidemiology (B.M.P., C.C.), and Health Services (B.M.P.), University of Washington, Seattle; the Section of Nephrology (A.J.B.) and the Department of Public Health Sciences (C.D.F.), Wake Forest/Bowman Gray School of Medicine, Winston-Salem, NC; the Division of Epidemiology and Clinical Applications, National Heart, Lung, and Blood Institute, Bethesda, Md (T.A.M.); and the Departments of Pathology and Biochemistry, the University of Vermont College of Medicine, Burlington, Vt (R.P.T.).
Correspondence to Michael G. Shlipak, MD, MPH, VA Medical Center (111A1), 4150 Clement St, San Francisco, CA 94121. E-mail shlip{at}itsa.ucsf.edu
| Abstract |
|---|
|
|
|---|
Methods and Results The cross-sectional association of renal insufficiency with 8 inflammatory and procoagulant factors was evaluated using baseline data from the Cardiovascular Health Study, a population-based cohort study of 5888 subjects aged
65 years. C-reactive protein, fibrinogen, factor VIIc, and factor VIIIc levels were measured in nearly all participants; interleukin-6, intercellular adhesion molecule-1, plasmin-antiplasmin complex, and D-dimer levels were measured in nearly half of participants. Renal insufficiency was defined as a serum creatinine level
1.3 mg/dL in women and
1.5 mg/dL in men. Multivariate linear regression was used to compare adjusted mean levels of each biomarker in persons with and without renal insufficiency after adjustment for other baseline characteristics. Renal insufficiency was present in 647 (11%) of Cardiovascular Health Study participants. After adjustment for baseline differences, levels of C-reactive protein, fibrinogen, interleukin-6, factor VIIc, factor VIIIc, plasmin-antiplasmin complex, and D-dimer were significantly greater among persons with renal insufficiency (P<0.001). In participants with clinical, subclinical, and no cardiovascular disease at baseline, the positive associations of renal insufficiency with these inflammatory and procoagulant markers were similar.
Conclusion Renal insufficiency was independently associated with elevations in inflammatory and procoagulant biomarkers. These pathways may be important mediators leading to the increased cardiovascular risk of persons with kidney disease.
Key Words: inflammation coagulation kidney coronary disease
| Introduction |
|---|
|
|
|---|
Additional pathways that might mediate the association between renal dysfunction and cardiovascular risk are the inflammatory and coagulation cascades. Several studies have demonstrated that inflammatory markers, such as C-reactive protein (CRP), interleukin-6 (IL-6), and fibrinogen, and soluble adhesion molecules are associated with increased cardiovascular risk in healthy populations.36 In addition, markers of increased coagulability and fibrinolysis, such as factor VII, factor VIII, plasmin-antiplasmin complex (PAP), and D-dimer, have been associated with cardiovascular disease events.79 In persons with end-stage renal disease (ESRD), CRP, IL-6, and fibrinogen are elevated and are predictors of subsequent mortality.10,11 Furthermore, patients with ESRD and predialysis renal failure demonstrate activation of both inflammatory and thrombosis pathways, indicating that these abnormalities are not entirely a consequence of renal replacement therapies.1214 Whether mild renal insufficiency is associated with activation of the inflammatory and coagulation cascades has not been well studied.
In the present study, we compared levels of 8 inflammatory and procoagulant biomarkers among elderly persons with and without renal insufficiency using data collected at baseline in the Cardiovascular Health Study (CHS). We hypothesized that renal insufficiency would be independently associated with activated inflammation and a procoagulant state.
| Methods |
|---|
|
|
|---|
65 years, (2) not institutionalized, (3) expected to remain in the current community for
3 years, and (4) gave informed consent without requiring a proxy respondent. Among those who met the eligibility requirements and were invited to participate, 57% enrolled in CHS. The initial 5201 participants were enrolled by June 1990; an additional 687 black participants were recruited and enrolled by June 1993. This study is a cross-sectional analysis using information obtained on enrollment into CHS. The baseline examination included a medical history, physical examination, laboratory testing, and assessments of cardiovascular disease status. The study design, quality-control procedures, laboratory methods, and blood-pressure measurement procedures have been published previously.15
Measurements
The primary predictor variable for this analysis was the presence of renal insufficiency. In all but 80 of the enrollees, serum creatinine levels were measured at entry into CHS. In the present study, we defined renal insufficiency as a serum creatinine level
1.5 mg/dL in men and
1.3 mg/dL in women because these cutoffs were associated with increased adjusted mortality in CHS. We also estimated creatinine clearance levels using the Cockcroft-Gault equation.16
Other covariates included demographic variables [age, sex, race (white, black, other), and education level] and cardiovascular risk factors [history of diabetes and hypertension, systolic and diastolic blood pressures, smoking status (never, current, former), LDL and HDL cholesterol and triglyceride levels, alcohol intake, body mass index, and physical activity (kcal)]. Hypertension was defined at the baseline examination as either a physicians diagnosis of hypertension, the use of antihypertensive medications, or seated systolic blood pressure level
140 and/or diastolic blood pressure level
90. Diabetes was defined as the use of insulin, oral hypoglycemic medications, or a fasting glucose level
126 mg/dL. Cardiovascular disease status was defined as prevalent cardiovascular disease, subclinical cardiovascular disease, and no cardiovascular disease. Prevalent cardiovascular disease included a history of myocardial infarction, revascularization procedure, angina, or stroke. Among persons without prevalent cardiovascular disease, subclinical cardiovascular disease was defined as either an ankle-arm index <0.9, common carotid intima-media thickness >1.18 mm (the upper quintile in CHS), left ventricular hypertrophy [left ventricular mass index
100 g/(height in meters)2 in women or
131 g/(height in meters)2 in men], or left ventricular function considered borderline or abnormal on echocardiography.
The outcome variables for this study were the inflammatory and thrombotic markers measured on baseline plasma from CHS participants. CRP, fibrinogen, factor VII, and factor VIII levels were measured on baseline blood samples in nearly all CHS participants. IL-6, intercellular adhesion molecule-1 (ICAM-1), D-dimer, and PAP levels were measured only in subjects subsequently enrolled in the CHS Case-Cohort substudy (n=2454), whose selection was based on the presence or absence of prevalent coronary heart disease at baseline and the incidence of cardiovascular events during CHS follow-up. Subgroups of cases included those individuals with prevalent myocardial infarction at baseline (n=553); individuals without prevalent cardiovascular disease who had incident myocardial infarction (n=217), stroke (n=208), and angina (n=226); individuals with
2 infarcts on cerebral MRI (n=220); and a subset of individuals with one infarct on cerebral MRI (n=30).
The methods for drawing blood, handling and shipping samples, quality assurance, and assay performance have been previously described.17 All assays were measured on plasma drawn in the morning and stored at -70°C. The specific assays used for each measure were as follows: fibrinogen: BBL Fibrometer, Becton-Dickerson7,17; factor VIIc and factor VIIIc: Coag-A-Mate, Organon Teknika7,9,17; soluble ICAM-1: R&D Systems; and IL-6: ultra-sensitive ELISA, R&D Systems. CRP was measured using an ELISA developed by the CHS central blood laboratory. D-dimer was measured by ELISA using 2 monoclonal antibodies directed against nonoverlapping antigenic determinants that detect D-dimer from cross-linked fibrin but not D-monomer.8 PAP was measured using a 2-site ELISA with murine monoclonal antibodies specific for PAP complex.8
Statistics
We initially compared demographic characteristics, cardiovascular risk factors, and cardiovascular disease prevalence among subjects with and without renal insufficiency using the t test and
2 tests where appropriate and the Kruskal-Wallis for variables not normally distributed. Multivariate linear regression was used to determine the independent association of renal insufficiency with each biomarker. The presence of renal insufficiency and other baseline characteristics were independent variables in these analyses, and the biomarkers were the dependent variables. We used a generalized linear model estimating procedure from SAS to determine the adjusted mean levels of each biomarker within categories of renal function.
In these analyses, a backward stepwise procedure was used to eliminate covariates that were not associated with the biological marker (P<0.20). We tested for statistical interactions with the participants cardiovascular disease status at baseline for each measurement, and we repeated these analyses after stratification. We also tested for interactions of race and sex.
We used estimated creatinine clearance levels (>60 mL/min, 40 to 60 mL/min, and <40 mL/min)16 to determine whether the biomarkers increased incrementally as renal function decreased. We tested for the presence of a statistical interaction with cardiovascular disease status and creatinine clearance. Where significant interactions were found (4 of 8 biomarkers), stratified data were presented. Two-sided probability values <0.05 were considered statistically significant.
The final step of our analysis was to determine the relative strength of association with renal insufficiency among the 8 biomarkers. We calculated correlation coefficients to determine variable relations among the biomarkers. The 8 biomarkers were initially forced into a logistic regression model and then sequentially eliminated (P<0.05) to identify those that remained significantly associated with renal insufficiency. We repeated this analysis as a step-forward analysis and the results were unchanged.
| Results |
|---|
|
|
|---|
|
Levels of the inflammatory markers CRP, IL-6, and fibrinogen were significantly higher in persons with renal insufficiency, whereas ICAM-1 levels were not significantly different in the 2 groups (Table 2). Higher procoagulant measures were also significantly associated with renal insufficiency: Factor VIIc, factor VIIIc, PAP, and D-dimer levels were all significantly higher in persons with renal insufficiency (Table 2). Only factor VII had a significant interaction with race and renal insufficiency. White persons with renal insufficiency had mean levels of factor VIIc 11% (95% confidence interval, 8% to 13%) higher than white persons without renal insufficiency, whereas black persons with renal insufficiency had mean levels 15% (95% confidence intervals, 10% to 20%) higher than black persons without renal insufficiency.
|
We repeated these multivariate analyses after stratifying by the participants cardiovascular disease status (Table 3) and found a significant interaction of renal insufficiency and cardiovascular disease status only in predicting PAP levels (P=0.001). The association of higher PAP with renal insufficiency was strongest in persons with cardiovascular disease, but it was statistically significant and in the same direction in all 3 subgroups.
|
|
The 8 biomarkers were intercorrelated, but the strongest correlations were among the 3 inflammatory factors CRP, IL-6, and fibrinogen, with r values of 0.39, 0.46, and 0.50, respectively (all P<0.001). When all 8 biomarkers were entered into a multivariate logistic regression model with renal insufficiency as the outcome, only the procoagulant measures PAP, factor VIII, and factor VII remained significantly associated with renal insufficiency. In a second multivariate model that adjusted for baseline characteristics and the inflammatory markers (CRP, IL-6, and fibrinogen), fibrinogen had the strongest association with renal insufficiency (P<0.001); CRP and IL-6 were no longer statistically significant.
Levels of each biomarker increased significantly as renal function declined (Table 4). Levels of fibrinogen and CRP seemed to be elevated primarily in participants with estimated creatinine clearance <40 mL/min, whereas levels of IL-6 and factor VII seemed to have an inverse linear association with renal function. The association of creatinine clearance with levels of ICAM-1, factor VIII, PAP, and D-dimer varied by cardiovascular disease status (Table 4). Levels of factor VIII, PAP, and D-dimer were highest among persons with creatinine clearance <40 mL/min in all 3 strata and were somewhat elevated among those with a clearance of 40 to 60 mL/min compared with persons with clearance of >60 mL/min. Levels of ICAM-1 were highest in participants with creatinine clearance <40 mL/min only among persons with subclinical or no cardiovascular disease.
|
| Discussion |
|---|
|
|
|---|
The association of renal insufficiency with these biomarkers could be caused either by their increased production, decreased clearance, or a combination of both mechanisms. Renal dysfunction may directly cause increases in inflammatory mediators via a mechanism of increasing oxidative stress that could lead to accumulation of advanced glycation end products. Levels of these oxidation products increase as glomerular filtration rate declines, which may cause monocyte activation and cytokine production.18,19 Other studies have identified renal dysfunction as a state of activated coagulation due to the elevated D-dimer levels, which are not cleared by the kidney.20,21 Although fibrinogen levels are thought to be primarily determined by fibrinogen synthesis, Lane and colleagues22 found the metabolism and elimination of fibrinogen to be decreased in renal insufficiency and ESRD. The role of the kidney in the elimination of these biomarkers has not been established, nor is it known whether mild to moderate renal insufficiency has an impact on their clearance.
Prior studies have found that all of these inflammatory and procoagulant biomarkers are elevated in persons with ESRD.12,23 The inflammatory markers CRP and IL-6 are also independent risk factors for mortality in ESRD.10,11,24 However, few studies have evaluated these biomarkers in persons with less severe kidney disease. Persons with predialysis renal failure (creatinine clearance <10 mL/min) had elevated levels of CRP, fibrinogen, and ICAM-1, and ICAM-1 was a strong predictor of their mortality.13,14,25 In a sample of 382 hypertensive patients, Catena and colleagues26 found renal insufficiency was associated with higher levels of fibrinogen and D-dimer. Smaller studies have found decreased renal function is correlated with fibrinogen, IL-6, and D-dimer, but they had inadequate power to determine the independence of these associations or the effect of prevalent cardiovascular disease.20,27 Studies in persons with insulin resistance and diabetes found microalbuminuria was associated with increased fibrinogen levels.28
Although our findings in conjunction with prior studies seem to demonstrate that inflammatory and procoagulant biomarkers are elevated in persons with renal insufficiency, we cannot determine the direction of the association because of the cross-sectional design of our study. For example, activated inflammation could have caused both renal disease and hypercoagulability. An additional potential explanation for our findings is that renal insufficiency may be a marker for systemic atherosclerosis, which in turn is associated with inflammation and hypercoagulability. This possibility seems less likely, however, because we found the associations of these biomarkers with renal insufficiency to be independent of the participants cardiovascular disease status and to be of similar magnitude among persons with prevalent, subclinical, and no cardiovascular disease. We did find statistical interactions for cardiovascular disease status and creatinine clearance categories for the outcomes of ICAM-1, factor VIIIc, PAP, and D-dimer. However, within each category of cardiovascular disease status, the biomarkers seemed to be inversely related to renal function.
In addition to the cross-sectional design of our study, an important limitation was our reliance on serum creatinine levels to define renal insufficiency. More precise measures of renal function are very difficult to use in large epidemiological studies. For example, insulin or iothalamate clearances are invasive, cumbersome, and very expensive, and 24-hour urine collections are unreliable.29 Several potential cutoffs for serum creatinine levels could have been used; we think that the cutoffs of
1.5 mg/dL in men and
1.3 mg/dL in women were appropriate for our study because they seemed to be the thresholds above which adjusted mortality increased in this cohort. A reasonable alternative to the Cockroft-Gault equation for estimating glomerular filtration rate is the Modification of Diet in Renal Disease (MDRD) formula, which may be more precise.30 However, because this equation has not yet been validated against a reference standard in an elderly population, we decided to use the Cockroft-Gault equation, which is the most widely used estimator of renal function.
In summary, we found elderly persons with renal insufficiency to have elevated levels of all 8 of the inflammatory and procoagulant biomarkers tested. These pathways may be important mediators for the elevated cardiovascular risk observed in persons with renal disease. Future studies should prospectively evaluate the association of the inflammatory and coagulation pathways with renal dysfunction and should examine the reduction of inflammatory markers in persons with renal insufficiency as a potential intervention for cardiovascular prevention.
| Acknowledgments |
|---|
| Footnotes |
|---|
This paper was presented in part at the Annual Meeting of the American Heart Associations Epidemiology Council, Honolulu, Hawaii, April 24, 2002.
Received September 6, 2002; accepted September 27, 2002.
| References |
|---|
|
|
|---|
2. Shlipak MG, Simon JA, Grady D, et al. Renal insufficiency and cardiovascular events in postmenopausal women with coronary heart disease. J Am Coll Cardiol. 2001; 38: 705711.
3. Ridker PM, Hennekens CH, Buring JE, et al. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342: 836843.
4. Ridker PM, Rifai N, Stampfer MJ, et al. Plasma concentration of interleukin-6 and the risk of future myocardial infarction among apparently healthy men. Circulation. 2000; 101: 17671772.
5. Ernst E, Resch KL. Fibrinogen as a cardiovascular risk factor: a meta-analysis and review of the literature. Ann Intern Med. 1993; 118: 956963.
6. Hwang SJ, Ballantyne CM, Sharrett AR, et al. Circulating adhesion molecules VCAM-1, ICAM-1, and E-selectin in carotid atherosclerosis and incident coronary heart disease cases: the Atherosclerosis Risk In Communities (ARIC) study. Circulation. 1997; 96: 42194225.
7. Tracy RP, Arnold AM, Ettinger W, et al. The relationship of fibrinogen and factors VII and VIII to incident cardiovascular disease and death in the elderly: results from the cardiovascular health study. Arterioscler Thromb Vasc Biol. 1999; 19: 17761783.
8. Cushman M, Lemaitre RN, Kuller LH, et al. Fibrinolytic activation markers predict myocardial infarction in the elderly: the Cardiovascular Health Study. Arterioscler Thromb Vasc Biol. 1999; 19: 493498.
9. Tracy RP, Lemaitre RN, Psaty BM, et al. Relationship of C-reactive protein to risk of cardiovascular disease in the elderly: results from the Cardiovascular Health Study and the Rural Health Promotion Project. Arterioscler Thromb Vasc Biol. 1997; 17: 11211127.
10. Owen WF, Lowrie EG. C-reactive protein as an outcome predictor for maintenance hemodialysis patients. Kidney Int. 1998; 54: 627636.[CrossRef][Medline] [Order article via Infotrieve]
11. Bologa RM, Levine DM, Parker TS, et al. Interleukin-6 predicts hypoalbuminemia, hypocholesterolemia, and mortality in hemodialysis patients. Am J Kidney Dis. 1998; 32: 107114.[Medline] [Order article via Infotrieve]
12. Vaziri ND, Gonzales EC, Wang J, et al. Blood coagulation, fibrinolytic, and inhibitory proteins in end-stage renal disease: effect of hemodialysis. Am J Kidney Dis. 1994; 23: 828835.[Medline] [Order article via Infotrieve]
13. Stenvinkel P, Heimburger O, Paultre F, et al. Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int. 1999; 55: 18991911.[CrossRef][Medline] [Order article via Infotrieve]
14. Stenvinkel P, Heimburger O, Tuck CH, et al. Apo(a)-isoform size, nutritional status and inflammatory markers in chronic renal failure. Kidney Int. 1998; 53: 13361342.[CrossRef][Medline] [Order article via Infotrieve]
15. Fried LP, Borhani NO, Enright P, et al. The Cardiovascular Health Study: design and rationale. Ann Epidemiol. 1991; 1: 263276.[Medline] [Order article via Infotrieve]
16. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 3141.[Medline] [Order article via Infotrieve]
17. Cushman M, Cornell ES, Howard PR, et al. Laboratory methods and quality assurance in the Cardiovascular Health Study. Clin Chem. 1995; 41: 264270.
18. Witko-Sarsat V, Friedlander M, Nguyen Khoa T, et al. Advanced oxidation protein products as novel mediators of inflammation and monocyte activation in chronic renal failure. J Immunol. 1998; 161: 25242532.
19. Kaysen GA. The microinflammatory state in uremia: causes and potential consequences. J Am Soc Nephrol. 2001; 12: 15491557.
20. Gordge MP, Faint RW, Rylance PB, et al. Plasma D dimer: a useful marker of fibrin breakdown in renal failure. Thromb Haemost. 1989; 61: 522525.[Medline] [Order article via Infotrieve]
21. Shibata T, Magari Y, Kamberi P, et al. Significance of urinary fibrin/fibrinogen degradation products (FDP) D- dimer measured by a highly sensitive ELISA method with a new monoclonal antibody (D-D E72) in various renal diseases. Clin Nephrol. 1995; 44: 9195.[Medline] [Order article via Infotrieve]
22. Lane DA, Ireland H, Knight I, et al. The significance of fibrinogen derivatives in plasma in human renal failure. Br J Haematol. 1984; 56: 251260.[Medline] [Order article via Infotrieve]
23. Tomura S, Nakamura Y, Doi M, et al. Fibrinogen, coagulation factor VII, tissue plasminogen activator, plasminogen activator inhibitor-1, and lipid as cardiovascular risk factors in chronic hemodialysis and continuous ambulatory peritoneal dialysis patients. Am J Kidney Dis. 1996; 27: 848854.[Medline] [Order article via Infotrieve]
24. Zimmermann J, Herrlinger S, Pruy A, et al. Inflammation enhances cardiovascular risk and mortality in hemodialysis patients. Kidney Int. 1999; 55: 648658.[CrossRef][Medline] [Order article via Infotrieve]
25. Stenvinkel P, Lindholm B, Heimburger M, et al. Elevated serum levels of soluble adhesion molecules predict death in pre-dialysis patients: association with malnutrition, inflammation, and cardiovascular disease. Nephrol Dial Transplant. 2000; 15: 16241630.
26. Catena C, Zingaro L, Casaccio D, et al. Abnormalities of coagulation in hypertensive patients with reduced creatinine clearance. Am J Med. 2000; 109: 556561.[CrossRef][Medline] [Order article via Infotrieve]
27. Irish A. Cardiovascular disease, fibrinogen and the acute phase response: associations with lipids and blood pressure in patients with chronic renal disease. Atherosclerosis. 1998; 137: 133139.[CrossRef][Medline] [Order article via Infotrieve]
28. Festa A, DAgostino R, Howard G, et al. Inflammation and microalbuminuria in nondiabetic and type 2 diabetic subjects: the Insulin Resistance Atherosclerosis Study. Kidney Int. 2000; 58: 17031710.[CrossRef][Medline] [Order article via Infotrieve]
29. Coresh J, Toto RD, Kirk KA, et al. Creatinine clearance as a measure of GFR in screenees for the African-American Study of Kidney Disease and Hypertension pilot study. Am J Kidney Dis. 1998; 32: 3242.[Medline] [Order article via Infotrieve]
30. Levey AS, Bosch JP, Lewis JB, et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation: Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130: 461470.
This article has been cited by other articles:
![]() |
M. Khatri, T. Nickolas, Y. P. Moon, M. C. Paik, T. Rundek, M. S. V. Elkind, R. L. Sacco, and C. B. Wright CKD Associates with Cognitive Decline J. Am. Soc. Nephrol., November 1, 2009; 20(11): 2427 - 2432. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. H.M. van Straten, M. A. Soliman Hamad, A. A.J. van Zundert, E. J. Martens, J. P.A.M. Schonberger, and A. M. de Wolf Preoperative renal function as a predictor of survival after coronary artery bypass grafting: Comparison with a matched general population J. Thorac. Cardiovasc. Surg., October 1, 2009; 138(4): 971 - 976. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. F. Navarro-Gonzalez, C. Mora-Fernandez, M. Muros, H. Herrera, and J. Garcia Mineral Metabolism and Inflammation in Chronic Kidney Disease Patients: A Cross-Sectional Study Clin. J. Am. Soc. Nephrol., October 1, 2009; 4(10): 1646 - 1654. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Keller, R. Katz, M. J. Sarnak, L. F. Fried, B. Kestenbaum, M. Cushman, M. G. Shlipak, and for the CHS study Inflammatory biomarkers and decline in kidney function in the elderly: the Cardiovascular Health Study Nephrol. Dial. Transplant., September 3, 2009; (2009) gfp429v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. R. B. M. van Gestel, M. Chonchol, S. E. Hoeks, G. M. J. M. Welten, H. Stam, F. W. Mertens, R. T. van Domburg, and D. Poldermans Association between chronic obstructive pulmonary disease and chronic kidney disease in vascular surgery patients Nephrol. Dial. Transplant., September 1, 2009; 24(9): 2763 - 2767. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Mehran, E. Nikolsky, A. J. Lansky, A. J. Kirtane, Y.-H. Kim, F. Feit, S. Manoukian, J. W. Moses, R. Ebrahimi, E. M. Ohman, et al. Impact of Chronic Kidney Disease on Early (30-Day) and Late (1-Year) Outcomes of Patients With Acute Coronary Syndromes Treated With Alternative Antithrombotic Treatment Strategies: An ACUITY (Acute Catheterization and Urgent Intervention Triage strategY) Substudy J. Am. Coll. Cardiol. Intv., August 1, 2009; 2(8): 748 - 757. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Kokubo, S. Nakamura, T. Okamura, Y. Yoshimasa, H. Makino, M. Watanabe, A. Higashiyama, K. Kamide, K. Kawanishi, A. Okayama, et al. Relationship Between Blood Pressure Category and Incidence of Stroke and Myocardial Infarction in an Urban Japanese Population With and Without Chronic Kidney Disease: The Suita Study Stroke, August 1, 2009; 40(8): 2674 - 2679. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. S. Go, M. C. Fang, N. Udaltsova, Y. Chang, N. K. Pomernacki, L. Borowsky, D. E. Singer, and for the ATRIA Study Investigators Impact of Proteinuria and Glomerular Filtration Rate on Risk of Thromboembolism in Atrial Fibrillation: The Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study Circulation, March 17, 2009; 119(10): 1363 - 1369. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Diez, P. Mohr, O. Kuss, B. Osten, R.-E. Silber, and H.-S. Hofmann Impact of Preoperative Renal Dysfunction on In-hospital Mortality After Solitary Valve and Combined Valve and Coronary Procedures. Ann. Thorac. Surg., March 1, 2009; 87(3): 731 - 736. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Kobayashi, N. Hirawa, K. Yatsu, Y. Kobayashi, Y. Yamamoto, S. Saka, D. Andoh, Y. Toya, G. Yasuda, and S. Umemura Relationship between silent brain infarction and chronic kidney disease Nephrol. Dial. Transplant., January 1, 2009; 24(1): 201 - 207. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. S. Pedersen, N. Kupper, and J. Denollet CHAPTER 35 Psychological Factors and Heart Disease ESC Textbook of Cardiovascular Medicine, January 1, 2009; 2(1): med-9780199566990-chapter - med-9780199566990-chapter. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. T. Canales, L.-Y. Lui, B. C. Taylor, A. Ishani, R. Mehra, K. L. Stone, S. Redline, K. E. Ensrud, and for the Osteoporotic Fractures in Men (MrOS) Study Renal function and sleep-disordered breathing in older men Nephrol. Dial. Transplant., December 1, 2008; 23(12): 3908 - 3914. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. J. Howell, B. E. Keogh, R. S. Bonser, T. R. Graham, J. Mascaro, S. J. Rooney, I. C. Wilson, and D. Pagano Mild renal dysfunction predicts in-hospital mortality and post-discharge survival following cardiac surgery. Eur. J. Cardiothorac. Surg., August 1, 2008; 34(2): 390 - 395. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. P. Liew, J. R. Bartholomew, S. Demirjian, J. Michaels, and M. J. Schreiber Jr. Combined Effect of Chronic Kidney Disease and Peripheral Arterial Disease on All-Cause Mortality in a High-Risk Population Clin. J. Am. Soc. Nephrol., July 1, 2008; 3(4): 1084 - 1089. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Yende, G. D'Angelo, J. A. Kellum, L. Weissfeld, J. Fine, R. D. Welch, L. Kong, M. Carter, D. C. Angus, and for the GenIMS Investigators Inflammatory Markers at Hospital Discharge Predict Subsequent Mortality after Pneumonia and Sepsis Am. J. Respir. Crit. Care Med., June 1, 2008; 177(11): 1242 - 1247. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. D. Schocken, E. J. Benjamin, G. C. Fonarow, H. M. Krumholz, D. Levy, G. A. Mensah, J. Narula, E. S. Shor, J. B. Young, and Y. Hong Prevention of Heart Failure: A Scientific Statement From the American Heart Association Councils on Epidemiology and Prevention, Clinical Cardiology, Cardiovascular Nursing, and High Blood Pressure Research; Quality of Care and Outcomes Research Interdisciplinary Working Group; and Functional Genomics and Translational Biology Interdisciplinary Working Group Circulation, May 13, 2008; 117(19): 2544 - 2565. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Mittalhenkle, C. O. Stehman-Breen, M. G. Shlipak, L. F. Fried, R. Katz, B. A. Young, S. Seliger, D. Gillen, A. B. Newman, B. M. Psaty, et al. Cardiovascular Risk Factors and Incident Acute Renal Failure in Older Adults: The Cardiovascular Health Study Clin. J. Am. Soc. Nephrol., March 1, 2008; 3(2): 450 - 456. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Sarnak, R. Katz, L. F. Fried, D. Siscovick, B. Kestenbaum, S. Seliger, D. Rifkin, R. Tracy, A. B. Newman, M. G. Shlipak, et al. Cystatin C and Aging Success Arch Intern Med, January 28, 2008; 168(2): 147 - 153. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Chen, E. J. O'Reilly, M. A. Schwarzschild, and A. Ascherio Peripheral Inflammatory Biomarkers and Risk of Parkinson's Disease Am. J. Epidemiol., January 1, 2008; 167(1): 90 - 95. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Khatri, C. B. Wright, T. L. Nickolas, M. Yoshita, M. C. Paik, G. Kranwinkel, R. L. Sacco, and C. DeCarli Chronic Kidney Disease Is Associated With White Matter Hyperintensity Volume: The Northern Manhattan Study (NOMAS) Stroke, December 1, 2007; 38(12): 3121 - 3126. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Agarwal Effects of Statins on Renal Function Mayo Clin. Proc., November 1, 2007; 82(11): 1381 - 1390. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. B. Chonchol, V. Aboyans, P. Lacroix, G. Smits, T. Berl, and M. Laskar Long-term outcomes after coronary artery bypass grafting: Preoperative kidney function is prognostic J. Thorac. Cardiovasc. Surg., September 1, 2007; 134(3): 683 - 689. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. G. Glynn, D. Reddan, J. Newell, J. Hinde, B. Buckley, and A. W. Murphy Chronic kidney disease and mortality and morbidity among patients with established cardiovascular disease: a West of Ireland community-based cohort study Nephrol. Dial. Transplant., September 1, 2007; 22(9): 2586 - 2594. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Tong, J. J. Carrero, A. R. Qureshi, B. Anderstam, O. Heimburger, P. Barany, J. Axelsson, A. Alvestrand, P. Stenvinkel, B. Lindholm, et al. Plasma Pentraxin 3 in Patients with Chronic Kidney Disease: Associations with Renal Function, Protein-Energy Wasting, Cardiovascular Disease, and Mortality Clin. J. Am. Soc. Nephrol., September 1, 2007; 2(5): 889 - 897. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. M. Hailpern, M. L. Melamed, H. W. Cohen, and T. H. Hostetter Moderate Chronic Kidney Disease and Cognitive Function in Adults 20 to 59 Years of Age: Third National Health and Nutrition Examination Survey (NHANES III) J. Am. Soc. Nephrol., July 1, 2007; 18(7): 2205 - 2213. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. E. Ensrud, L.-Y. Lui, B. C. Taylor, A. Ishani, M. G. Shlipak, K. L. Stone, J. A. Cauley, S. A. Jamal, D. M. Antoniucci, S. R. Cummings, et al. Renal Function and Risk of Hip and Vertebral Fractures in Older Women Arch Intern Med, January 22, 2007; 167(2): 133 - 139. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. C. Odden, G. M. Chertow, L. F. Fried, A. B. Newman, S. Connelly, S. Angleman, T. B. Harris, E. M. Simonsick, M. G. Shlipak, and for the HABC Study Cystatin C and Measures of Physical Function in Elderly Adults: The Health, Aging, and Body Composition (HABC) Study Am. J. Epidemiol., December 15, 2006; 164(12): 1180 - 1189. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. G. Wannamethee, A. G. Shaper, G. D.O. Lowe, L. Lennon, A. Rumley, and P. H. Whincup Renal function and cardiovascular mortality in elderly men: the role of inflammatory, procoagulant, and endothelial biomarkers Eur. Heart J., December 2, 2006; 27(24): 2975 - 2981. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Goncalves, R. Pecoits-Filho, S. Perreto, S. H. Barberato, A. E. M. Stinghen, E. G. A. Lima, R. Fuerbringer, S. M. Sauthier, and M. C. Riella Associations between renal function, volume status and endotoxaemia in chronic kidney disease patients Nephrol. Dial. Transplant., October 1, 2006; 21(10): 2788 - 2794. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. G. Coca, H. M. Krumholz, A. X. Garg, and C. R. Parikh Underrepresentation of renal disease in randomized controlled trials of cardiovascular disease. JAMA, September 20, 2006; 296(11): 1377 - 1384. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. de Rekeneire, R. Peila, J. Ding, L. H. Colbert, M. Visser, R. I. Shorr, S. B. Kritchevsky, L. H. Kuller, E. S. Strotmeyer, A. V. Schwartz, et al. Diabetes, Hyperglycemia, and Inflammation in Older Individuals: The Health, Aging and Body Composition study Diabetes Care, August 1, 2006; 29(8): 1902 - 1908. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Amann, C. Wanner, and E. Ritz Cross-Talk between the Kidney and the Cardiovascular System J. Am. Soc. Nephrol., August 1, 2006; 17(8): 2112 - 2119. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Koren-Morag, U. Goldbourt, and D. Tanne Renal dysfunction and risk of ischemic stroke or TIA in patients with cardiovascular disease. Neurology, July 25, 2006; 67(2): 224 - 228. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. F. Fried, M. G. Shlipak, C. Stehman-Breen, A. Mittalhenkle, S. Seliger, M. Sarnak, J. Robbins, D. Siscovick, T. B. Harris, A. B. Newman, et al. Kidney function predicts the rate of bone loss in older individuals: the cardiovascular health study. J. Gerontol. A Biol. Sci. Med. Sci., July 1, 2006; 61(7): 743 - 748. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. Dhaun, J. Goddard, and DavidJ. Webb The Endothelin System and Its Antagonism in Chronic Kidney Disease J. Am. Soc. Nephrol., April 1, 2006; 17(4): 943 - 955. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Rashidi, M. Rahman, M. Tonelli, C. Isles, T. Craven, C. Furberg, A. Tonkin, M. A. Pfeffer, J. Shepherd, S. M. Cobbe, et al. Letter Regarding Article by Tonelli et al, "Effect of Pravastatin on Rate of Kidney Function Loss in People With or at Risk for Coronary Disease" * Response Circulation, January 31, 2006; 113(4): e59 - e60. [Full Text] [PDF] |
||||
![]() |
R. W. Schrier Role of Diminished Renal Function in Cardiovascular Mortality: Marker or Pathogenetic Factor? J. Am. Coll. Cardiol., January 3, 2006; 47(1): 1 - 8. [Abstract] [Full Text] |
||||
![]() |
M. G. Shlipak, C. L. W. Fyr, G. M. Chertow, T. B. Harris, S. B. Kritchevsky, F. A. Tylavsky, S. Satterfield, S. R. Cummings, A. B. Newman, and L. F. Fried Cystatin C and Mortality Risk in the Elderly: The Health, Aging, and Body Composition Study J. Am. Soc. Nephrol., January 1, 2006; 17(1): 254 - 261. [Abstract] [Full Text] [PDF] |
||||
![]() |
N. A. Khan, I. Ma, C. R. Thompson, K. Humphries, D. N. Salem, M. J. Sarnak, and A. Levin Kidney Function and Mortality among Patients with Left Ventricular Systolic Dysfunction J. Am. Soc. Nephrol., January 1, 2006; 17(1): 244 - 253. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. F. Fried, R. Katz, M. J. Sarnak, M. G. Shlipak, P. H.M. Chaves, N. S. Jenny, C. Stehman-Breen, D. Gillen, A. J. Bleyer, C. Hirsch, et al. Kidney Function as a Predictor of Noncardiovascular Mortality J. Am. Soc. Nephrol., December 1, 2005; 16(12): 3728 - 3735. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. N. Foley, C. Wang, and A. J. Collins Cardiovascular Risk Factor Profiles and Kidney Function Stage in the US General Population: The NHANES III Study Mayo Clin. Proc., October 1, 2005; 80(10): 1270 - 1277. [Abstract] [PDF] |
||||
![]() |
M. Nishimura, T. Hashimoto, H. Kobayashi, T. Fukuda, K. Okino, N. Yamamoto, C. Mashida, K. Kawagoe, H. Fujita, N. Inoue, et al. Close association of Chlamydia pneumoniae IgA seropositivity by ELISA with the presence of coronary artery stenosis in haemodialysis patients Nephrol. Dial. Transplant., September 1, 2005; 20(9): 1944 - 1950. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. S. Strotmeyer, J. A. Cauley, A. V. Schwartz, M. C. Nevitt, H. E. Resnick, D. C. Bauer, F. A. Tylavsky, N. de Rekeneire, T. B. Harris, and A. B. Newman Nontraumatic Fracture Risk With Diabetes Mellitus and Impaired Fasting Glucose in Older White and Black Adults: The Health, Aging, and Body Composition Study Arch Intern Med, July 25, 2005; 165(14): 1612 - 1617. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Kurella, G. M. Chertow, L. F. Fried, S. R. Cummings, T. Harris, E. Simonsick, S. Satterfield, H. Ayonayon, and K. Yaffe Chronic Kidney Disease and Cognitive Impairment in the Elderly: The Health, Aging, and Body Composition Study J. Am. Soc. Nephrol., July 1, 2005; 16(7): 2127 - 2133. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Vanholder, Z. Massy, A. Argiles, G. Spasovski, F. Verbeke, N. Lameire, and for the European Uremic Toxin Work Group (EUTox) Chronic kidney disease as cause of cardiovascular morbidity and mortality Nephrol. Dial. Transplant., June 1, 2005; 20(6): 1048 - 1056. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Di Napoli, M. Schwaninger, R. Cappelli, E. Ceccarelli, G. Di Gianfilippo, C. Donati, H. C.A. Emsley, S. Forconi, S. J. Hopkins, L. Masotti, et al. Evaluation of C-Reactive Protein Measurement for Assessing the Risk and Prognosis in Ischemic Stroke: A Statement for Health Care Professionals From the CRP Pooling Project Members Stroke, June 1, 2005; 36(6): 1316 - 1329. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Sarnak, R. Katz, C. O. Stehman-Breen, L. F. Fried, N. S. Jenny, B. M. Psaty, A. B. Newman, D. Siscovick, M. G. Shlipak, and and the Cardiovascular Health Study* Cystatin C Concentration as a Risk Factor for Heart Failure in Older Adults Ann Intern Med, April 5, 2005; 142(7): 497 - 505. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Saemann, T Weichhart, M Zeyda, G Staffler, M Schunn, K. Stuhlmeier, Y Sobanov, T. Stulnig, S Akira, A von Gabain, et al. Immunoregulation in Urinary Tract Inflammation--A Role of Tamm-Horsfall Glycoprotein: Tamm-Horsfall Glycoprotein Links Innate Immune Cell Activation with Adaptive Immunity via a Toll-Like Receptor-4-Dependent Mechanism. J Clin Invest 115: 468-475, 2005 J. Am. Soc. Nephrol., April 1, 2005; 16(4): 829 - 836. [Full Text] [PDF] |
||||
![]() |
E. M. Stuveling, S. J. L. Bakker, H. L. Hillege, P. E. de Jong, R. O. B. Gans, and D. de Zeeuw Biochemical risk markers: a novel area for better prediction of renal risk? Nephrol. Dial. Transplant., March 1, 2005; 20(3): 497 - 508. [Full Text] [PDF] |
||||
![]() |
W. Koenig, D. Twardella, H. Brenner, and D. Rothenbacher Plasma Concentrations of Cystatin C in Patients with Coronary Heart Disease and Risk for Secondary Cardiovascular Events: More than Simply a Marker of Glomerular Filtration Rate Clin. Chem., February 1, 2005; 51(2): 321 - 327. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Fried, C. Solomon, M. Shlipak, S. Seliger, C. Stehman-Breen, A. J. Bleyer, P. Chaves, C. Furberg, L. Kuller, and A. Newman Inflammatory and Prothrombotic Markers and the Progression of Renal Disease in Elderly Individuals J. Am. Soc. Nephrol., December 1, 2004; 15(12): 3184 - 3191. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. C. Odden, M. A. Whooley, and M. G. Shlipak Association of Chronic Kidney Disease and Anemia with Physical Capacity: The Heart and Soul Study J. Am. Soc. Nephrol., November 1, 2004; 15(11): 2908 - 2915. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Gupta, Y. Birnbaum, and B. F. Uretsky The renal patient with coronary artery disease: Current concepts and dilemmas J. Am. Coll. Cardiol., October 6, 2004; 44(7): 1343 - 1353. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. S. Go, G. M. Chertow, D. Fan, C. E. McCulloch, and C.-y. Hsu Chronic Kidney Disease and the Risks of Death, Cardiovascular Events, and Hospitalization N. Engl. J. Med., September 23, 2004; 351(13): 1296 - 1305. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. S. Fox, Q. Yang, L. A. Cupples, C.-Y. Guo, M. G. Larson, E. P. Leip, P. W.F. Wilson, and D. Levy Genomewide Linkage Analysis to Serum Creatinine, GFR, and Creatinine Clearance in a Community-Based Population: The Framingham Heart Study J. Am. Soc. Nephrol., September 1, 2004; 15(9): 2457 - 2461. [Abstract] [Full Text] [PDF] |
||||
![]() |
C Mueller, F-J Neumann, A P Perruchoud, and H J Buettner Renal function and long term mortality after unstable angina/non-ST segment elevation myocardial infarction treated very early and predominantly with percutaneous coronary intervention Heart, August 1, 2004; 90(8): 902 - 907. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Y.-M. Wang, M. Wang, J. Woo, C. W.-K. Lam, S.-F. Lui, P. K.-T. Li, and J. E. Sanderson Inflammation, Residual Kidney Function, and Cardiac Hypertrophy Are Interrelated and Combine Adversely to Enhance Mortality and Cardiovascular Death Risk of Peritoneal Dialysis Patients J. Am. Soc. Nephrol., August 1, 2004; 15(8): 2186 - 2194. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. G. Shlipak, G. L. Smith, S. S. Rathore, B. M. Massie, and H. M. Krumholz Renal Function, Digoxin Therapy, and Heart Failure Outcomes: Evidence from the Digoxin Intervention Group Trial J. Am. Soc. Nephrol., August 1, 2004; 15(8): 2195 - 2203. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. L. Knight, E. B. Rimm, J. K. Pai, K. M. Rexrode, C. C. Cannuscio, J. E. Manson, M. J. Stampfer, and G. C. Curhan Kidney Dysfunction, Inflammation, and Coronary Events: A Prospective Study J. Am. Soc. Nephrol., July 1, 2004; 15(7): 1897 - 1903. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Amann, M.-L. Gross, and E. Ritz Pathophysiology Underlying Accelerated Atherogenesis in Renal Disease: Closing in on the Target J. Am. Soc. Nephrol., June 1, 2004; 15(6): 1664 - 1666. [Full Text] [PDF] |
||||
![]() |
A. M. O'Hare, E. Vittinghoff, J. Hsia, and M. G. Shlipak Renal Insufficiency and the Risk of Lower Extremity Peripheral Arterial Disease: Results from the Heart and Estrogen/Progestin Replacement Study (HERS) J. Am. Soc. Nephrol., April 1, 2004; 15(4): 1046 - 1051. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. M. Chertow A 43-Year-Old Woman With Chronic Renal Insufficiency JAMA, March 10, 2004; 291(10): 1252 - 1259. [Full Text] [PDF] |
||||
![]() |
G. A. Kaysen and J. P. Eiserich The Role of Oxidative Stress-Altered Lipoprotein Structure and Function and Microinflammation on Cardiovascular Risk in Patients with Minor Renal Dysfunction J. Am. Soc. Nephrol., March 1, 2004; 15(3): 538 - 548. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Segura, C. Campo, C. Roldan, H. Christiansen, L. Vigil, R. Garcia-Robles, J. L. Rodicio, and L. M. Ruilope Hypertensive Renal Damage in Metabolic Syndrome Is Associated with Glucose Metabolism Disturbances J. Am. Soc. Nephrol., January 1, 2004; 15(90010): S37 - 42. [Abstract] [Full Text] |
||||
![]() |
J. H. Ix, M. G. Shlipak, H. H. Liu, N. B. Schiller, and M. A. Whooley Association between Renal Insufficiency and Inducible Ischemia in Patients with Coronary Artery Disease: The Heart and Soul Study J. Am. Soc. Nephrol., December 1, 2003; 14(12): 3233 - 3238. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Sarnak, A. S. Levey, A. C. Schoolwerth, J. Coresh, B. Culleton, L. L. Hamm, P. A. McCullough, B. L. Kasiske, E. Kelepouris, M. J. Klag, et al. Kidney Disease as a Risk Factor for Development of Cardiovascular Disease: A Statement From the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention Hypertension, November 1, 2003; 42(5): 1050 - 1065. [Full Text] [PDF] |
||||
![]() |
M. J. Sarnak, A. S. Levey, A. C. Schoolwerth, J. Coresh, B. Culleton, L. L. Hamm, P. A. McCullough, B. L. Kasiske, E. Kelepouris, M. J. Klag, et al. Kidney Disease as a Risk Factor for Development of Cardiovascular Disease: A Statement From the American Heart Association Councils on Kidney in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology, and Epidemiology and Prevention Circulation, October 28, 2003; 108(17): 2154 - 2169. [Full Text] [PDF] |
||||
![]() |
B. Hocher, R. Ziebig, C. Altermann, R. Krause, G. Asmus, C.-M. Richter, T. Slowinski, P. Sinha, and H.-H. Neumayer Different Impact of Biomarkers as Mortality Predictors among Diabetic and Nondiabetic Patients Undergoing Hemodialysis J. Am. Soc. Nephrol., September 1, 2003; 14(9): 2329 - 2337. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Stenvinkel, R. Pecoits-Filho, and B. Lindholm Coronary Artery Disease in End-Stage Renal Disease: No Longer a Simple Plumbing Problem J. Am. Soc. Nephrol., July 1, 2003; 14(7): 1927 - 1939. [Full Text] [PDF] |
||||
![]() |
M. Tonelli, L. Moye, F. M. Sacks, T. Cole, and G. C. Curhan Effect of Pravastatin on Loss of Renal Function in People with Moderate Chronic Renal Insufficiency and Cardiovascular Disease J. Am. Soc. Nephrol., June 1, 2003; 14(6): 1605 - 1613. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. F. Fried, M. G. Shlipak, C. Crump, A. J. Bleyer, J. S. Gottdiener, R. A. Kronmal, L. H. Kuller, and A. B. Newman Renal insufficiency as a predictor of cardiovascular outcomes and mortality in elderly individuals J. Am. Coll. Cardiol., April 16, 2003; 41(8): 1364 - 1372. [Abstract] [Full Text] [PDF] |
||||
![]() |
New Insights into Atherosclerosis and Renal Insufficiency Journal Watch Cardiology, March 14, 2003; 2003(314): 7 - 7. [Full Text] |
||||
![]() |
New Insights into Atherosclerosis and Renal Insufficiency Journal Watch (General), February 4, 2003; 2003(204): 2 - 2. [Full Text] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2003 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |